{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T18:25:57Z","timestamp":1774549557928,"version":"3.50.1"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Key Project of Science and Technology Research of Henan Province","award":["222102210112"],"award-info":[{"award-number":["222102210112"]}]},{"name":"National Natural and Science Fund of China","award":["61802350"],"award-info":[{"award-number":["61802350"]}]},{"name":"National Natural and Science Fund of China","award":["81971615"],"award-info":[{"award-number":["81971615"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-024-01059-0","type":"journal-article","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T22:05:12Z","timestamp":1709244312000},"page":"1516-1528","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Deep Learning Radiomics Analysis of CT Imaging for Differentiating Between Crohn\u2019s Disease and Intestinal Tuberculosis"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4878-1806","authenticated-orcid":false,"given":"Ming","family":"Cheng","sequence":"first","affiliation":[]},{"given":"Hanyue","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Wenpeng","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jianbo","family":"Gao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,29]]},"reference":[{"key":"1059_CR1","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.disamonth.2017.07.001","volume":"64","author":"M Gajendran","year":"2018","unstructured":"Gajendran M, Loganathan P, Catinella AP, Hashash JG: A comprehensive review and update on Crohn's disease. Dis Mon 64:20-57, 2018.","journal-title":"Dis Mon"},{"key":"1059_CR2","doi-asserted-by":"crossref","first-page":"1088","DOI":"10.1016\/j.mayocp.2017.04.010","volume":"92","author":"JD Feuerstein","year":"2017","unstructured":"Feuerstein JD, Cheifetz AS: Crohn Disease: Epidemiology, Diagnosis, and Management. Mayo Clin Proc 92:1088-1103, 2017.","journal-title":"Mayo Clin Proc"},{"key":"1059_CR3","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1053\/j.gastro.2021.07.042","volume":"161","author":"G Rogler","year":"2021","unstructured":"Rogler G, Singh A, Kavanaugh A, Rubin DT: Extraintestinal Manifestations of Inflammatory Bowel Disease: Current Concepts, Treatment, and Implications for Disease Management. Gastroenterology 161:1118-1132, 2021.","journal-title":"Gastroenterology"},{"key":"1059_CR4","doi-asserted-by":"crossref","unstructured":"Ravimohan S, Kornfeld H, Weissman D, Bisson GP: Tuberculosis and lung damage: from epidemiology to pathophysiology. Eur Respir Rev 27, 2018.","DOI":"10.1183\/16000617.0077-2017"},{"key":"1059_CR5","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.crad.2013.10.009","volume":"69","author":"N Kalra","year":"2014","unstructured":"Kalra N, Agrawal P, Mittal V, Kochhar R, Gupta V, Nada R, Singh R, Khandelwal N: Spectrum of imaging findings on MDCT enterography in patients with small bowel tuberculosis. Clin Radiol 69:315-322, 2014.","journal-title":"Clin Radiol"},{"key":"1059_CR6","volume":"386","author":"LF O\u00f1ate-Oca\u00f1a","year":"2022","unstructured":"O\u00f1ate-Oca\u00f1a LF, P\u00e9rez-D\u00edaz L: Intestinal Tuberculosis. N Engl J Med 386:e30, 2022.","journal-title":"N Engl J Med"},{"key":"1059_CR7","doi-asserted-by":"crossref","first-page":"418","DOI":"10.3748\/wjg.v25.i4.418","volume":"25","author":"S Kedia","year":"2019","unstructured":"Kedia S, Das P, Madhusudhan KS, Dattagupta S, Sharma R, Sahni P, Makharia G, Ahuja V: Differentiating Crohn's disease from intestinal tuberculosis. World J Gastroenterol 25:418-432, 2019.","journal-title":"World J Gastroenterol"},{"key":"1059_CR8","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0242879","volume":"15","author":"J Limsrivilai","year":"2020","unstructured":"Limsrivilai J, Lee CK, Prueksapanich P, Harinwan K, Sudcharoen A, Cheewasereechon N, Aniwan S, Sripongpan P, Wetwittayakhlang P, Pongpaibul A, Sanpavat A, Pausawasdi N, Charatcharoenwitthaya P, Higgins PDR, Ng SC: Validation of models using basic parameters to differentiate intestinal tuberculosis from Crohn's disease: A multicenter study from Asia. PLoS One 15:e0242879, 2020.","journal-title":"PLoS One"},{"key":"1059_CR9","volume":"8","author":"SE Weinberg","year":"2021","unstructured":"Weinberg SE, Mughal AM: A Case of Intestinal Tuberculosis Mimicking Crohn's Disease: A Clinical and Diagnostic Dilemma. Eur J Case Rep Intern Med 8:002699, 2021.","journal-title":"Eur J Case Rep Intern Med"},{"key":"1059_CR10","doi-asserted-by":"crossref","first-page":"6306","DOI":"10.3748\/wjg.v23.i34.6306","volume":"23","author":"H Seo","year":"2017","unstructured":"Seo H, Lee S, So H, Kim D, Kim SO, Soh JS, Bae JH, Lee SH, Hwang SW, Park SH, Yang DH, Kim KJ, Byeon JS, Myung SJ, Yang SK, Ye BD: Temporal trends in the misdiagnosis rates between Crohn's disease and intestinal tuberculosis. World J Gastroenterol 23:6306-6314, 2017.","journal-title":"World J Gastroenterol"},{"key":"1059_CR11","doi-asserted-by":"crossref","first-page":"433","DOI":"10.3748\/wjg.v17.i4.433","volume":"17","author":"AB Pulimood","year":"2011","unstructured":"Pulimood AB, Amarapurkar DN, Ghoshal U, Phillip M, Pai CG, Reddy DN, Nagi B, Ramakrishna BS: Differentiation of Crohn's disease from intestinal tuberculosis in India in 2010. World J Gastroenterol 17:433-443, 2011.","journal-title":"World J Gastroenterol"},{"key":"1059_CR12","volume":"13","author":"M Jiang","year":"2022","unstructured":"Jiang M, Zeng Z, Chen K, Dang Y, Li L, Ma C, Cheng R, Hu K, Li X, Zhang H: Enterogenous Microbiotic Markers in the Differential Diagnosis of Crohn's Disease and Intestinal Tuberculosis. Front Immunol 13:820891, 2022.","journal-title":"Front Immunol"},{"key":"1059_CR13","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1111\/j.1365-2036.2007.03332.x","volume":"25","author":"D Epstein","year":"2007","unstructured":"Epstein D, Watermeyer G, Kirsch R: Review article: the diagnosis and management of Crohn's disease in populations with high-risk rates for tuberculosis. Aliment Pharmacol Ther 25:1373-1388, 2007.","journal-title":"Aliment Pharmacol Ther"},{"key":"1059_CR14","doi-asserted-by":"crossref","first-page":"1367","DOI":"10.1111\/apt.14617","volume":"47","author":"R Banerjee","year":"2018","unstructured":"Banerjee R, Pal P, Girish BG, Reddy DN: Risk factors for diagnostic delay in Crohn's disease and their impact on long-term complications: how do they differ in a tuberculosis endemic region? Aliment Pharmacol Ther 47:1367-1374, 2018.","journal-title":"Aliment Pharmacol Ther"},{"key":"1059_CR15","doi-asserted-by":"crossref","first-page":"98","DOI":"10.12701\/yujm.2019.00374","volume":"37","author":"YG Kim","year":"2020","unstructured":"Kim YG, Kim KJ, Min YK: Comparison of small bowel findings using capsule endoscopy between Crohn's disease and intestinal tuberculosis in Korea. Yeungnam Univ J Med 37:98-105, 2020.","journal-title":"Yeungnam Univ J Med"},{"key":"1059_CR16","doi-asserted-by":"crossref","unstructured":"Wei JP, Wu XY, Gao SY, Chen QY, Liu T, Liu G: Misdiagnosis and Mistherapy of Crohn's Disease as Intestinal Tuberculosis: Case Report and Literature Review. Medicine (Baltimore) 95:e2436, 2016.","DOI":"10.1097\/MD.0000000000002436"},{"key":"1059_CR17","doi-asserted-by":"crossref","unstructured":"Spada C, Hassan C, Riccioni ME, Costamagna G: False positive at colon capsule endoscopy or false negative at conventional colonoscopy? Endoscopy 42:427\u2013428; author reply 428, 2010.","DOI":"10.1055\/s-0029-1244126"},{"key":"1059_CR18","doi-asserted-by":"crossref","first-page":"190","DOI":"10.3748\/wjg.v25.i2.190","volume":"25","author":"SY Kim","year":"2019","unstructured":"Kim SY, Kim HS, Park HJ: Adverse events related to colonoscopy: Global trends and future challenges. World J Gastroenterol 25:190-204, 2019.","journal-title":"World J Gastroenterol"},{"key":"1059_CR19","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1093\/ecco-jcc\/jjw168","volume":"11","author":"F Gomoll\u00f3n","year":"2017","unstructured":"Gomoll\u00f3n F, Dignass A, Annese V, Tilg H, Van Assche G, Lindsay JO, Peyrin-Biroulet L, Cullen GJ, Daperno M, Kucharzik T, Rieder F, Almer S, Armuzzi A, Harbord M, Langhorst J, Sans M, Chowers Y, Fiorino G, Juillerat P, Mantzaris GJ, Rizzello F, Vavricka S, Gionchetti P: 3rd European Evidence-based Consensus on the Diagnosis and Management of Crohn's Disease 2016: Part 1: Diagnosis and Medical Management. J Crohns Colitis 11:3-25, 2017.","journal-title":"J Crohns Colitis"},{"key":"1059_CR20","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1259\/bjr\/27973476","volume":"85","author":"R Ilangovan","year":"2012","unstructured":"Ilangovan R, Burling D, George A, Gupta A, Marshall M, Taylor SA: CT enterography: review of technique and practical tips. Br J Radiol 85:876-886, 2012.","journal-title":"Br J Radiol"},{"key":"1059_CR21","doi-asserted-by":"crossref","unstructured":"Yang H, Zhang H, Liu W, Han W, Guo T, Lai Y, Tan B, Wang C, Chen M, Gao X, Ran Z, Liu Z, Wu K, Cao Q, Qian J: Computed tomography enterography increases the ability of endoscopy to differentiate Crohn's disease from intestinal Beh\u00e7et's disease. Front Med (Lausanne) 9:900458, 2022.","DOI":"10.3389\/fmed.2022.900458"},{"key":"1059_CR22","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.giec.2016.08.008","volume":"27","author":"JL Fidler","year":"2017","unstructured":"Fidler JL, Goenka AH, Fleming CJ, Andrews JC: Small Bowel Imaging: Computed Tomography Enterography, Magnetic Resonance Enterography, Angiography, and Nuclear Medicine. Gastrointest Endosc Clin N Am 27:133-152, 2017.","journal-title":"Gastrointest Endosc Clin N Am"},{"key":"1059_CR23","doi-asserted-by":"crossref","first-page":"149","DOI":"10.5217\/ir.2017.15.2.149","volume":"15","author":"S Kedia","year":"2017","unstructured":"Kedia S, Sharma R, Sreenivas V, Madhusudhan KS, Sharma V, Bopanna S, Pratap Mouli V, Dhingra R, Yadav DP, Makharia G, Ahuja V: Accuracy of computed tomographic features in differentiating intestinal tuberculosis from Crohn's disease: a systematic review with meta-analysis. Intest Res 15:149-159, 2017.","journal-title":"Intest Res"},{"key":"1059_CR24","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1080\/17474124.2019.1673730","volume":"13","author":"P Goyal","year":"2019","unstructured":"Goyal P, Shah J, Gupta S, Gupta P, Sharma V: Imaging in discriminating intestinal tuberculosis and Crohn's disease: past, present and the future. Expert Rev Gastroenterol Hepatol 13:995-1007, 2019.","journal-title":"Expert Rev Gastroenterol Hepatol"},{"key":"1059_CR25","doi-asserted-by":"crossref","first-page":"4002","DOI":"10.1007\/s00259-021-05338-8","volume":"48","author":"C Bezzi","year":"2021","unstructured":"Bezzi C, Mapelli P, Presotto L, Neri I, Scifo P, Savi A, Bettinardi V, Partelli S, Gianolli L, Falconi M, Picchio M: Radiomics in pancreatic neuroendocrine tumors: methodological issues and clinical significance. Eur J Nucl Med Mol Imaging 48:4002-4015, 2021.","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"1059_CR26","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1080\/14737140.2021.1852935","volume":"21","author":"C Bortolotto","year":"2021","unstructured":"Bortolotto C, Lancia A, Stelitano C, Montesano M, Merizzoli E, Agustoni F, Stella G, Preda L, Filippi AR: Radiomics features as predictive and prognostic biomarkers in NSCLC. Expert Rev Anticancer Ther 21:257-266, 2021.","journal-title":"Expert Rev Anticancer Ther"},{"key":"1059_CR27","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.semcancer.2020.12.005","volume":"84","author":"J Wu","year":"2022","unstructured":"Wu J, Mayer AT, Li R: Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Semin Cancer Biol 84:310-328, 2022.","journal-title":"Semin Cancer Biol"},{"key":"1059_CR28","doi-asserted-by":"crossref","first-page":"e185","DOI":"10.1002\/mp.13678","volume":"47","author":"M Avanzo","year":"2020","unstructured":"Avanzo M, Wei L, Stancanello J, Valli\u00e8res M, Rao A, Morin O, Mattonen SA, El Naqa I: Machine and deep learning methods for radiomics. Med Phys 47:e185-e202, 2020.","journal-title":"Med Phys"},{"key":"1059_CR29","doi-asserted-by":"crossref","DOI":"10.3389\/fnimg.2022.981642","volume":"1","author":"LK Avber\u0161ek","year":"2022","unstructured":"Avber\u0161ek LK, Repov\u0161 G: Deep learning in neuroimaging data analysis: Applications, challenges, and solutions. Front Neuroimaging 1:981642, 2022.","journal-title":"Front Neuroimaging"},{"key":"1059_CR30","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1016\/j.jmir.2019.09.005","volume":"50","author":"G Currie","year":"2019","unstructured":"Currie G, Hawk KE, Rohren E, Vial A, Klein R: Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging. J Med Imaging Radiat Sci 50:477-487, 2019.","journal-title":"J Med Imaging Radiat Sci"},{"key":"1059_CR31","volume":"307","author":"Q Chen","year":"2023","unstructured":"Chen Q, Pan T, Wang YN, Schoepf UJ, Bidwell SL, Qiao H, Feng Y, Xu C, Xu H, Xie G, Gao X, Tao XW, Lu M, Xu PP, Zhong J, Wei Y, Yin X, Zhang J, Zhang LJ: A Coronary CT Angiography Radiomics Model to Identify Vulnerable Plaque and Predict Cardiovascular Events. Radiology 307:e221693, 2023.","journal-title":"Radiology"},{"key":"1059_CR32","doi-asserted-by":"crossref","first-page":"6953","DOI":"10.1007\/s00330-022-08830-3","volume":"32","author":"Y Zheng","year":"2022","unstructured":"Zheng Y, Zhou D, Liu H, Wen M: CT-based radiomics analysis of different machine learning models for differentiating benign and malignant parotid tumors. Eur Radiol 32:6953-6964, 2022.","journal-title":"Eur Radiol"},{"key":"1059_CR33","volume":"12","author":"AQ Zhang","year":"2022","unstructured":"Zhang AQ, Zhao HP, Li F, Liang P, Gao JB, Cheng M: Computed tomography-based deep-learning prediction of lymph node metastasis risk in locally advanced gastric cancer. Front Oncol 12:969707, 2022.","journal-title":"Front Oncol"},{"key":"1059_CR34","doi-asserted-by":"crossref","first-page":"4271","DOI":"10.1158\/1078-0432.CCR-18-3065","volume":"25","author":"H Peng","year":"2019","unstructured":"Peng H, Dong D, Fang MJ, Li L, Tang LL, Chen L, Li WF, Mao YP, Fan W, Liu LZ, Tian L, Lin AH, Sun Y, Tian J, Ma J: Prognostic Value of Deep Learning PET\/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma. Clin Cancer Res 25:4271-4279, 2019.","journal-title":"Clin Cancer Res"},{"key":"1059_CR35","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1007\/s00330-020-07174-0","volume":"31","author":"M Ligero","year":"2021","unstructured":"Ligero M, Jordi-Ollero O, Bernatowicz K, Garcia-Ruiz A, Delgado-Mu\u00f1oz E, Leiva D, Mast R, Suarez C, Sala-Llonch R, Calvo N, Escobar M, Navarro-Martin A, Villacampa G, Dienstmann R, Perez-Lopez R: Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis. Eur Radiol 31:1460-1470, 2021.","journal-title":"Eur Radiol"},{"key":"1059_CR36","unstructured":"He K, Zhang X, Ren S, Sun J: Deep residual learning for image recognition. Proc. Proceedings of the IEEE conference on computer vision and pattern recognition: City."},{"key":"1059_CR37","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla NV, Bowyer KW, Hall LO, Kegelmeyer WP: SMOTE: synthetic minority over-sampling technique. Journal of artificial intelligence research 16:321-357, 2002.","journal-title":"Journal of artificial intelligence research"},{"key":"1059_CR38","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1007\/s00261-020-02506-6","volume":"45","author":"S Ren","year":"2020","unstructured":"Ren S, Zhao R, Zhang J, Guo K, Gu X, Duan S, Wang Z, Chen R: Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal adenocarcinoma. Abdominal Radiology 45:1524-1533, 2020.","journal-title":"Abdominal Radiology"},{"key":"1059_CR39","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1097\/MOG.0000000000000830","volume":"38","author":"C Carretero","year":"2022","unstructured":"Carretero C: Small bowel Crohn's disease: optimal modality for diagnosis and monitoring. Curr Opin Gastroenterol 38:292-298, 2022.","journal-title":"Curr Opin Gastroenterol"},{"key":"1059_CR40","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.ejrad.2015.11.028","volume":"85","author":"LM Minordi","year":"2016","unstructured":"Minordi LM, Scaldaferri F, Marra RS, Pecere S, Larosa L, Poscia A, Gasbarrini A, Vecchioli A, Bonomo L: Enterography CT without and with water enema in patients with Crohn's disease: Results from a comparative observational study in comparison with endoscopy. Eur J Radiol 85:404-413, 2016.","journal-title":"Eur J Radiol"},{"key":"1059_CR41","doi-asserted-by":"crossref","first-page":"916","DOI":"10.1097\/MIB.0000000000000025","volume":"20","author":"XS Zhao","year":"2014","unstructured":"Zhao XS, Wang ZT, Wu ZY, Yin QH, Zhong J, Miao F, Yan FH: Differentiation of Crohn's disease from intestinal tuberculosis by clinical and CT enterographic models. Inflamm Bowel Dis 20:916-925, 2014.","journal-title":"Inflamm Bowel Dis"},{"key":"1059_CR42","doi-asserted-by":"crossref","unstructured":"Huang M, Tu L, Li J, Yue X, Wu L, Yang M, Chen Y, Han P, Li X, Zhu L: Differentiation of Crohn's disease, ulcerative colitis, and intestinal tuberculosis by dual-layer spectral detector CT enterography. Clin Radiol, 2023.","DOI":"10.1016\/j.crad.2023.12.001"},{"key":"1059_CR43","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1111\/1751-2980.12324","volume":"17","author":"JY Ma","year":"2016","unstructured":"Ma JY, Tong JL, Ran ZH: Intestinal tuberculosis and Crohn's disease: challenging differential diagnosis. J Dig Dis 17:155-161, 2016.","journal-title":"J Dig Dis"},{"key":"1059_CR44","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1148\/rg.2020190091","volume":"40","author":"FF Guglielmo","year":"2020","unstructured":"Guglielmo FF, Anupindi SA, Fletcher JG, Al-Hawary MM, Dillman JR, Grand DJ, Bruining DH, Chatterji M, Darge K, Fidler JL, Gandhi NS, Gee MS, Grajo JR, Huang C, Jaffe TA, Park SH, Rimola J, Soto JA, Taouli B, Taylor SA, Baker ME: Small Bowel Crohn Disease at CT and MR Enterography: Imaging Atlas and Glossary of Terms. Radiographics 40:354-375, 2020.","journal-title":"Radiographics"},{"key":"1059_CR45","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1007\/s11604-013-0220-x","volume":"31","author":"D Ray","year":"2013","unstructured":"Ray D, Thukral BB, Gupta R, Chintamani, Prasad R: Small bowel tuberculosis by multidetector CT enteroclysis. Jpn J Radiol 31:471-479, 2013.","journal-title":"Jpn J Radiol"},{"key":"1059_CR46","first-page":"204","volume":"32","author":"AK Dutta","year":"2011","unstructured":"Dutta AK, Sahu MK, Gangadharan SK, Chacko A: Distinguishing Crohn's disease from intestinal tuberculosis--a prospective study. Trop Gastroenterol 32:204-209, 2011.","journal-title":"Trop Gastroenterol"},{"key":"1059_CR47","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.crohns.2011.09.002","volume":"6","author":"Y Li","year":"2012","unstructured":"Li Y, Zhang LF, Liu XQ, Wang L, Wang X, Wang J, Qian JM: The role of in vitro interferon\u03b3-release assay in differentiating intestinal tuberculosis from Crohn's disease in China. J Crohns Colitis 6:317-323, 2012.","journal-title":"J Crohns Colitis"},{"key":"1059_CR48","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1055\/s-2006-924996","volume":"38","author":"YJ Lee","year":"2006","unstructured":"Lee YJ, Yang SK, Byeon JS, Myung SJ, Chang HS, Hong SS, Kim KJ, Lee GH, Jung HY, Hong WS, Kim JH, Min YI, Chang SJ, Yu CS: Analysis of colonoscopic findings in the differential diagnosis between intestinal tuberculosis and Crohn's disease. Endoscopy 38:592-597, 2006.","journal-title":"Endoscopy"},{"key":"1059_CR49","doi-asserted-by":"crossref","first-page":"4363","DOI":"10.3748\/wjg.v28.i31.4363","volume":"28","author":"KP Du","year":"2022","unstructured":"Du KP, Huang WP, Liu SY, Chen YJ, Li LM, Liu XN, Han YJ, Zhou Y, Liu CC, Gao JB: Application of computed tomography-based radiomics in differential diagnosis of adenocarcinoma and squamous cell carcinoma at the esophagogastric junction. World J Gastroenterol 28:4363-4375, 2022.","journal-title":"World J Gastroenterol"},{"key":"1059_CR50","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/s10278-022-00590-2","volume":"35","author":"MPA Starmans","year":"2022","unstructured":"Starmans MPA, Timbergen MJM, Vos M, Renckens M, Gr\u00fcnhagen DJ, van Leenders G, Dwarkasing RS, Willemssen F, Niessen WJ, Verhoef C, Sleijfer S, Visser JJ, Klein S: Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach. J Digit Imaging 35:127-136, 2022.","journal-title":"J Digit Imaging"},{"key":"1059_CR51","doi-asserted-by":"crossref","first-page":"12611","DOI":"10.1038\/s41598-018-30657-6","volume":"8","author":"JE Bibault","year":"2018","unstructured":"Bibault JE, Giraud P, Housset M, Durdux C, Taieb J, Berger A, Coriat R, Chaussade S, Dousset B, Nordlinger B, Burgun A: Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer. Sci Rep 8:12611, 2018.","journal-title":"Sci Rep"},{"key":"1059_CR52","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/j.ejca.2021.08.039","volume":"157","author":"L Kiehl","year":"2021","unstructured":"Kiehl L, Kuntz S, H\u00f6hn J, Jutzi T, Krieghoff-Henning E, Kather JN, Holland-Letz T, Kopp-Schneider A, Chang-Claude J, Brobeil A, von Kalle C, Fr\u00f6hling S, Alwers E, Brenner H, Hoffmeister M, Brinker TJ: Deep learning can predict lymph node status directly from histology in colorectal cancer. Eur J Cancer 157:464-473, 2021.","journal-title":"Eur J Cancer"},{"key":"1059_CR53","first-page":"285","volume":"28","author":"YX Ge","year":"2020","unstructured":"Ge YX, Li J, Zhang JQ, Duan SF, Liu YK, Hu SD: Radiomics analysis of multicenter CT images for discriminating mucinous adenocarcinoma from nomucinous adenocarcinoma in rectal cancer and comparison with conventional CT values. J Xray Sci Technol 28:285-297, 2020.","journal-title":"J Xray Sci Technol"},{"key":"1059_CR54","doi-asserted-by":"crossref","first-page":"572","DOI":"10.21037\/atm-21-1023","volume":"9","author":"H Li","year":"2021","unstructured":"Li H, Mo Y, Huang C, Ren Q, Xia X, Nan X, Shuai X, Meng X: An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn's disease and ulcerative colitis. Ann Transl Med 9:572, 2021.","journal-title":"Ann Transl Med"},{"key":"1059_CR55","doi-asserted-by":"crossref","first-page":"8692","DOI":"10.1007\/s00330-022-08842-z","volume":"32","author":"J Meng","year":"2022","unstructured":"Meng J, Luo Z, Chen Z, Zhou J, Chen Z, Lu B, Zhang M, Wang Y, Yuan C, Shen X, Huang Q, Zhang Z, Ye Z, Cao Q, Zhou Z, Xu Y, Mao R, Chen M, Sun C, Li Z, Feng ST, Meng X, Huang B, Li X: Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists. Eur Radiol 32:8692-8705, 2022.","journal-title":"Eur Radiol"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01059-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-024-01059-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01059-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T17:14:25Z","timestamp":1722878065000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-024-01059-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,29]]},"references-count":55,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["1059"],"URL":"https:\/\/doi.org\/10.1007\/s10278-024-01059-0","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,29]]},"assertion":[{"value":"23 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 February 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 February 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This retrospective study was approved by the Institutional Review Board of the First Affiliated Hospital of Zhengzhou University.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"The requirement for informed consent was waived due to the retrospective nature of the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Publication"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}