{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T16:03:41Z","timestamp":1790352221454,"version":"4.1.0"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T00:00:00Z","timestamp":1743206400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T00:00:00Z","timestamp":1743206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Data"],"DOI":"10.1038\/s41597-025-04838-8","type":"journal-article","created":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T22:16:23Z","timestamp":1743286583000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["An Integrated Mycobacterial CT Imaging Dataset with Multispecies Information"],"prefix":"10.1038","volume":"12","author":[{"given":"Zhilin","family":"Han","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuyang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenlong","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoting","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingzhen","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tingting","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Wan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiheng","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,29]]},"reference":[{"issue":"Suppl 1","key":"4838_CR1","doi-asserted-by":"publisher","first-page":"S7","DOI":"10.1016\/j.ijid.2021.02.107","volume":"113","author":"J Chakaya","year":"2021","unstructured":"Chakaya, J. et al. Global Tuberculosis Report 2020 - Reflections on the Global TB burden, treatment and prevention efforts. Int J Infect Dis 113 (Suppl 1), S7\u2013S12, https:\/\/doi.org\/10.1016\/j.ijid.2021.02.107 (2021).","journal-title":"Int J Infect Dis"},{"key":"4838_CR2","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1183\/09031936.06.00149805","volume":"28","author":"S Fowler","year":"2006","unstructured":"Fowler, S. et al. Nontuberculous mycobacteria in bronchiectasis: Prevalence and patient characteristics. European Respiratory Journal 28, 1204\u20131210 (2006).","journal-title":"European Respiratory Journal"},{"key":"4838_CR3","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.ccm.2014.10.002","volume":"36","author":"DR Prevots","year":"2015","unstructured":"Prevots, D. R. & Marras, T. K. Epidemiology of human pulmonary infection with nontuberculous mycobacteria: a review. Clinics in chest medicine 36, 13\u201334 (2015).","journal-title":"Clinics in chest medicine"},{"key":"4838_CR4","doi-asserted-by":"publisher","first-page":"303","DOI":"10.3389\/fimmu.2020.00303","volume":"11","author":"CN Ratnatunga","year":"2020","unstructured":"Ratnatunga, C. N. et al. The rise of non-tuberculosis mycobacterial lung disease. Frontiers in immunology 11, 303 (2020).","journal-title":"Frontiers in immunology"},{"key":"4838_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12879-018-3043-7","volume":"18","author":"MJ Donohue","year":"2018","unstructured":"Donohue, M. J. Increasing nontuberculous mycobacteria reporting rates and species diversity identified in clinical laboratory reports. BMC Infect. Dis. 18, 1\u20139 (2018).","journal-title":"BMC Infect. Dis."},{"key":"4838_CR6","doi-asserted-by":"publisher","unstructured":"Cowman, S., van Ingen, J., Griffith, D. E. & Loebinger, M. R. Non-tuberculous mycobacterial pulmonary disease. Eur Respir J 54 https:\/\/doi.org\/10.1183\/13993003.00250-2019 (2019).","DOI":"10.1183\/13993003.00250-2019"},{"key":"4838_CR7","doi-asserted-by":"publisher","first-page":"569","DOI":"10.3201\/eid2503.181597","volume":"25","author":"H Lee","year":"2019","unstructured":"Lee, H., Myung, W., Koh, W. J., Moon, S. M. & Jhun, B. W. Epidemiology of Nontuberculous Mycobacterial Infection, South Korea, 2007-2016. Emerg Infect Dis 25, 569\u2013572, https:\/\/doi.org\/10.3201\/eid2503.181597 (2019).","journal-title":"Emerg Infect Dis"},{"key":"4838_CR8","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1513\/AnnalsATS.201804-236OC","volume":"17","author":"KL Winthrop","year":"2020","unstructured":"Winthrop, K. L. et al. Incidence and Prevalence of Nontuberculous Mycobacterial Lung Disease in a Large US Managed Care Health Plan, 2008-2015. Ann. Am. Thoracic Society 17, 178\u2013185, https:\/\/doi.org\/10.1513\/AnnalsATS.201804-236OC (2020).","journal-title":"Ann. Am. Thoracic Society"},{"key":"4838_CR9","doi-asserted-by":"publisher","DOI":"10.1186\/s40249-022-01009-4","volume":"11","author":"Z Dong","year":"2022","unstructured":"Dong, Z. et al. Age-period-cohort analysis of pulmonary tuberculosis reported incidence, China, 2006-2020. Infect. Dis. Poverty 11, 10, https:\/\/doi.org\/10.1186\/s40249-022-01009-4 (2022).","journal-title":"Infect. Dis. Poverty"},{"key":"4838_CR10","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1016\/j.jinf.2017.12.007","volume":"76","author":"D Xu","year":"2018","unstructured":"Xu, D., Han, C., Wang, M. S. & Wang, J. L. Increasing prevalence of non-tuberculous mycobacterial infection from 2004-2009 to 2012-2017: A laboratory-based surveillance in China. J. Infect. 76, 422\u2013424, https:\/\/doi.org\/10.1016\/j.jinf.2017.12.007 (2018).","journal-title":"J. Infect."},{"key":"4838_CR11","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.ijid.2022.10.013","volume":"125","author":"VN Dahl","year":"2022","unstructured":"Dahl, V. N. et al. Global trends of pulmonary infections with nontuberculous mycobacteria: a systematic review. Int. J. Infect. Dis. 125, 120\u2013131, https:\/\/doi.org\/10.1016\/j.ijid.2022.10.013 (2022).","journal-title":"Int. J. Infect. Dis."},{"key":"4838_CR12","doi-asserted-by":"publisher","first-page":"1370","DOI":"10.5588\/ijtld.14.0120","volume":"18","author":"SK Brode","year":"2014","unstructured":"Brode, S. K., Daley, C. L. & Marras, T. K. The epidemiologic relationship between tuberculosis and non-tuberculous mycobacterial disease: a systematic review. Int. J. Tuberc. Lung Dis. 18, 1370\u20131377, https:\/\/doi.org\/10.5588\/ijtld.14.0120 (2014).","journal-title":"Int. J. Tuberc. Lung Dis."},{"key":"4838_CR13","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1093\/cid\/ciad214","volume":"77","author":"C Grigg","year":"2023","unstructured":"Grigg, C. et al. Epidemiology of Pulmonary and Extrapulmonary Nontuberculous Mycobacteria Infections at 4 US Emerging Infections Program Sites: A 6-Month Pilot. Clinical Infectious Diseases 77, 629\u2013637, https:\/\/doi.org\/10.1093\/cid\/ciad214 (2023).","journal-title":"Clinical Infectious Diseases"},{"key":"4838_CR14","doi-asserted-by":"publisher","first-page":"ii1","DOI":"10.1136\/thoraxjnl-2017-210927","volume":"72","author":"CS Haworth","year":"2017","unstructured":"Haworth, C. S. et al. British Thoracic Society guidelines for the management of non-tuberculous mycobacterial pulmonary disease (NTM-PD). Thorax 72, ii1\u2013ii64, https:\/\/doi.org\/10.1136\/thoraxjnl-2017-210927 (2017).","journal-title":"Thorax"},{"key":"4838_CR15","doi-asserted-by":"publisher","first-page":"725","DOI":"10.5588\/ijtld.13.0871","volume":"18","author":"YK Kim","year":"2014","unstructured":"Kim, Y. K. et al. Comparable characteristics of tuberculous and non-tuberculous mycobacterial cavitary lung diseases. Int. J. Tuberc. Lung Dis. 18, 725\u2013729, https:\/\/doi.org\/10.5588\/ijtld.13.0871 (2014).","journal-title":"Int. J. Tuberc. Lung Dis."},{"key":"4838_CR16","doi-asserted-by":"publisher","first-page":"e36902","DOI":"10.1371\/journal.pone.0036902","volume":"7","author":"M Maiga","year":"2012","unstructured":"Maiga, M. et al. Failure to recognize nontuberculous mycobacteria leads to misdiagnosis of chronic pulmonary tuberculosis. PLoS One 7, e36902, https:\/\/doi.org\/10.1371\/journal.pone.0036902 (2012).","journal-title":"PLoS One"},{"key":"4838_CR17","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1111\/j.1574-695X.2006.00123.x","volume":"48","author":"E Tortoli","year":"2006","unstructured":"Tortoli, E. The new mycobacteria: an update. FEMS Immunol Med Microbiol 48, 159\u2013178, https:\/\/doi.org\/10.1111\/j.1574-695X.2006.00123.x (2006).","journal-title":"FEMS Immunol Med Microbiol"},{"key":"4838_CR18","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.chest.2021.07.035","volume":"161","author":"DE Griffith","year":"2022","unstructured":"Griffith, D. E. & Daley, C. L. Treatment of Mycobacterium abscessus Pulmonary Disease. Chest 161, 64\u201375, https:\/\/doi.org\/10.1016\/j.chest.2021.07.035 (2022).","journal-title":"Chest"},{"key":"4838_CR19","doi-asserted-by":"publisher","first-page":"67","DOI":"10.3389\/fmicb.2018.00067","volume":"9","author":"RS Gupta","year":"2018","unstructured":"Gupta, R. S., Lo, B. & Son, J. Phylogenomics and Comparative Genomic Studies Robustly Support Division of the Genus Mycobacterium into an Emended Genus Mycobacterium and Four Novel Genera. Front Microbiol 9, 67, https:\/\/doi.org\/10.3389\/fmicb.2018.00067 (2018).","journal-title":"Front Microbiol"},{"key":"4838_CR20","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1038\/s41579-020-0331-1","volume":"18","author":"MD Johansen","year":"2020","unstructured":"Johansen, M. D., Herrmann, J. L. & Kremer, L. Non-tuberculous mycobacteria and the rise of Mycobacterium abscessus. Nat Rev Microbiol 18, 392\u2013407, https:\/\/doi.org\/10.1038\/s41579-020-0331-1 (2020).","journal-title":"Nat Rev Microbiol"},{"key":"4838_CR21","doi-asserted-by":"publisher","first-page":"74","DOI":"10.4046\/trd.2016.79.2.74","volume":"79","author":"YJ Ryu","year":"2016","unstructured":"Ryu, Y. J., Koh, W.-J. & Daley, C. L. Diagnosis and treatment of nontuberculous mycobacterial lung disease: clinicians\u2019 perspectives. Tuberculosis and respiratory diseases 79, 74\u201384 (2016).","journal-title":"Tuberculosis and respiratory diseases"},{"key":"4838_CR22","doi-asserted-by":"publisher","first-page":"1604","DOI":"10.1183\/09031936.00149212","volume":"42","author":"W Hoefsloot","year":"2013","unstructured":"Hoefsloot, W. et al. The geographic diversity of nontuberculous mycobacteria isolated from pulmonary samples: an NTM-NET collaborative study. Eur Respir J 42, 1604\u20131613, https:\/\/doi.org\/10.1183\/09031936.00149212 (2013).","journal-title":"Eur Respir J"},{"key":"4838_CR23","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1093\/cid\/ciaa1125","volume":"71","author":"CL Daley","year":"2020","unstructured":"Daley, C. L. et al. Treatment of Nontuberculous Mycobacterial Pulmonary Disease: An Official ATS\/ERS\/ESCMID\/IDSA Clinical Practice Guideline. Clin Infect Dis 71, 905\u2013913, https:\/\/doi.org\/10.1093\/cid\/ciaa1125 (2020).","journal-title":"Clin Infect Dis"},{"key":"4838_CR24","doi-asserted-by":"publisher","first-page":"e93S","DOI":"10.1378\/chest.12-2351","volume":"143","author":"MK Gould","year":"2013","unstructured":"Gould, M. K. et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest 143, e93S\u2013e120S, https:\/\/doi.org\/10.1378\/chest.12-2351 (2013).","journal-title":"Chest"},{"key":"4838_CR25","doi-asserted-by":"publisher","first-page":"1280","DOI":"10.2214\/ajr.20.22954","volume":"214","author":"Y Li","year":"2020","unstructured":"Li, Y. & Xia, L. M. Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management. Am. J. Roentgenol. 214, 1280\u20131286, https:\/\/doi.org\/10.2214\/ajr.20.22954 (2020).","journal-title":"Am. J. Roentgenol."},{"key":"4838_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2334-13-558","volume":"13","author":"A-R Lee","year":"2013","unstructured":"Lee, A.-R. et al. Phenotypic, immunologic, and clinical characteristics of patients with nontuberculous mycobacterial lung disease in Korea. BMC Infect. Dis. 13, 1\u20137 (2013).","journal-title":"BMC Infect. Dis."},{"key":"4838_CR27","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1016\/j.chest.2021.10.048","volume":"161","author":"Y Im","year":"2022","unstructured":"Im, Y. et al. Impact of Time Between Diagnosis and Treatment for Nontuberculous Mycobacterial Pulmonary Disease on Culture Conversion and All-Cause Mortality. Chest 161, 1192\u20131200, https:\/\/doi.org\/10.1016\/j.chest.2021.10.048 (2022).","journal-title":"Chest"},{"key":"4838_CR28","doi-asserted-by":"publisher","first-page":"210","DOI":"10.3978\/j.issn.2072-1439.2013.12.24","volume":"6","author":"MM Johnson","year":"2014","unstructured":"Johnson, M. M. & Odell, J. A. Nontuberculous mycobacterial pulmonary infections. J Thorac Dis 6, 210\u2013220, https:\/\/doi.org\/10.3978\/j.issn.2072-1439.2013.12.24 (2014).","journal-title":"J Thorac Dis"},{"key":"4838_CR29","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1148\/rg.275065176","volume":"27","author":"J Burrill","year":"2007","unstructured":"Burrill, J. et al. Tuberculosis: a radiologic review. Radiographics 27, 1255\u20131273 (2007).","journal-title":"Radiographics"},{"key":"4838_CR30","first-page":"122","volume":"18","author":"CY Chang","year":"2013","unstructured":"Chang, C. Y. & Chang, S. C. Comparative chest computed tomography findings of non-tuberculous mycobacterial lung diseases and pulmonary tuberculosis in patients with afb smear-positive sputum. Respirology 18, 122\u2013122 (2013).","journal-title":"Respirology"},{"key":"4838_CR31","doi-asserted-by":"crossref","unstructured":"Chu, H.-Q. et al. Chest imaging comparison between non-tuberculous and tuberculosis mycobacteria in sputum acid fast bacilli smear-positive patients. European Review for Medical & Pharmacological Sciences 19 (2015).","DOI":"10.1183\/13993003.congress-2015.PA2674"},{"key":"4838_CR32","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.bjid.2012.10.011","volume":"17","author":"S Kahkouee","year":"2013","unstructured":"Kahkouee, S. et al. Multidrug resistant tuberculosis versus non-tuberculous mycobacterial infections: a CT-scan challenge. Braz. J. Infect. Dis. 17, 137\u2013142, https:\/\/doi.org\/10.1016\/j.bjid.2012.10.011 (2013).","journal-title":"Braz. J. Infect. Dis."},{"key":"4838_CR33","doi-asserted-by":"publisher","first-page":"4449","DOI":"10.1007\/s00330-016-4286-6","volume":"26","author":"N Kwak","year":"2016","unstructured":"Kwak, N. et al. Non-tuberculous mycobacterial lung disease: diagnosis based on computed tomography of the chest. European Radiology 26, 4449\u20134456, https:\/\/doi.org\/10.1007\/s00330-016-4286-6 (2016).","journal-title":"European Radiology"},{"key":"4838_CR34","doi-asserted-by":"publisher","first-page":"1472","DOI":"10.1016\/j.rmed.2012.06.023","volume":"106","author":"A Matveychuk","year":"2012","unstructured":"Matveychuk, A., Fuks, L., Priess, R., Hahim, I. & Shitrit, D. Clinical and radiological features of Mycobacterium kansasii and other NTM infections. Respiratory Medicine 106, 1472\u20131477, https:\/\/doi.org\/10.1016\/j.rmed.2012.06.023 (2012).","journal-title":"Respiratory Medicine"},{"key":"4838_CR35","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.cmpb.2017.10.022","volume":"153","author":"C Li","year":"2018","unstructured":"Li, C. et al. Developing a new intelligent system for the diagnosis of tuberculous pleural effusion. Computer methods and programs in biomedicine 153, 211\u2013225 (2018).","journal-title":"Computer methods and programs in biomedicine"},{"key":"4838_CR36","doi-asserted-by":"publisher","first-page":"3113","DOI":"10.1109\/TIP.2021.3058783","volume":"30","author":"YH Wu","year":"2021","unstructured":"Wu, Y. H. et al. JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. IEEE Trans Image Process 30, 3113\u20133126, https:\/\/doi.org\/10.1109\/TIP.2021.3058783 (2021).","journal-title":"IEEE Trans Image Process"},{"key":"4838_CR37","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/RBME.2020.2987975","volume":"14","author":"F Shi","year":"2021","unstructured":"Shi, F. et al. Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19. IEEE Rev Biomed Eng 14, 4\u201315, https:\/\/doi.org\/10.1109\/RBME.2020.2987975 (2021).","journal-title":"IEEE Rev Biomed Eng"},{"key":"4838_CR38","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1016\/j.jiph.2020.06.028","volume":"13","author":"OS Albahri","year":"2020","unstructured":"Albahri, O. S. et al. Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects. J Infect Public Health 13, 1381\u20131396, https:\/\/doi.org\/10.1016\/j.jiph.2020.06.028 (2020).","journal-title":"J Infect Public Health"},{"key":"4838_CR39","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6287545","volume":"2020","author":"Z Xing","year":"2020","unstructured":"Xing, Z. et al. Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images. Biomed Res Int 2020, 6287545, https:\/\/doi.org\/10.1155\/2020\/6287545 (2020).","journal-title":"Biomed Res Int"},{"key":"4838_CR40","doi-asserted-by":"publisher","first-page":"4293","DOI":"10.1007\/s00259-021-05432-x","volume":"48","author":"L Wang","year":"2021","unstructured":"Wang, L. et al. Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework. European Journal of Nuclear Medicine and Molecular Imaging 48, 4293\u20134306, https:\/\/doi.org\/10.1007\/s00259-021-05432-x (2021).","journal-title":"European Journal of Nuclear Medicine and Molecular Imaging"},{"key":"4838_CR41","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.ijid.2022.09.031","volume":"125","author":"C Ying","year":"2022","unstructured":"Ying, C. et al. T-SPOT with CT image analysis based on deep learning for early differential diagnosis of nontuberculous mycobacteria pulmonary disease and pulmonary tuberculosis. Int. J. Infect. Dis. 125, 42\u201350, https:\/\/doi.org\/10.1016\/j.ijid.2022.09.031 (2022).","journal-title":"Int. J. Infect. Dis."},{"key":"4838_CR42","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1016\/j.chest.2022.06.018","volume":"162","author":"S Lee","year":"2022","unstructured":"Lee, S. et al. Deep Learning-Based Prediction Model Using Radiography in Nontuberculous Mycobacterial Pulmonary Disease. Chest 162, 995\u20131005, https:\/\/doi.org\/10.1016\/j.chest.2022.06.018 (2022).","journal-title":"Chest"},{"key":"4838_CR43","doi-asserted-by":"publisher","unstructured":"Liu, C.-J. et al. A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study. Insights Imaging 14 https:\/\/doi.org\/10.1186\/s13244-023-01395-9 (2023).","DOI":"10.1186\/s13244-023-01395-9"},{"key":"4838_CR44","doi-asserted-by":"publisher","unstructured":"Park, M. et al. Distinguishing nontuberculous mycobacterial lung disease and Mycobacterium tuberculosis lung disease on X-ray images using deep transfer learning. BMC Infect. Dis. 23 https:\/\/doi.org\/10.1186\/s12879-023-07996-5 (2023).","DOI":"10.1186\/s12879-023-07996-5"},{"key":"4838_CR45","doi-asserted-by":"publisher","first-page":"747-+","DOI":"10.21037\/qims-22-620","volume":"13","author":"I Yoon","year":"2023","unstructured":"Yoon, I. et al. Mycobacterial cavity on chest computed tomography: clinical implications and deep learning-based automatic detection with quantification. Quantitative Imaging in Medicine and Surgery 13, 747-+, https:\/\/doi.org\/10.21037\/qims-22-620 (2023).","journal-title":"Quantitative Imaging in Medicine and Surgery"},{"key":"4838_CR46","unstructured":"National Health Commission of the People\u2019s Republic of China. Diagnostic Criteria for Pulmonary Tuberculosis (WS 288-2017). Available at: http:\/\/www.nhc.gov.cn\/ewebeditor\/uploadfile\/2017\/11\/20171128164254246.pdf (2017)."},{"key":"4838_CR47","doi-asserted-by":"publisher","DOI":"10.34740\/KAGGLE\/DSV\/10818141","author":"ZL Han","year":"2024","unstructured":"Han, Z. L. et al. Mycobacterial CT Imaging Dataset. Kaggle https:\/\/doi.org\/10.34740\/kaggle\/dsv\/10818141 (2025).","journal-title":"Kaggle"},{"key":"4838_CR48","doi-asserted-by":"publisher","DOI":"10.34740\/kaggle\/ds\/6248246","author":"ZL Han","year":"2024","unstructured":"Han, Z. L. et al. Mycobacterial CT Imaging Dataset. Kaggle\u00a0https:\/\/doi.org\/10.34740\/kaggle\/ds\/6248246 (2025).","journal-title":"Kaggle"},{"key":"4838_CR49","unstructured":"He, K. M., Zhang, X. Y., Ren, S. Q., Sun, J. & Ieee. in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 770\u2013778 (Ieee, 2016)."},{"key":"4838_CR50","doi-asserted-by":"crossref","unstructured":"Srinivas, A. et al. in IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16514\u201316524 (Ieee Computer Soc, 2021).","DOI":"10.1109\/CVPR46437.2021.01625"},{"key":"4838_CR51","unstructured":"Tan, M. & Le, Q. in International conference on machine learning. 6105\u20136114 (PMLR)."},{"key":"4838_CR52","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L. & Weinberger, K. Q. in Proceedings of the IEEE conference on computer vision and pattern recognition. 4700\u20134708."}],"container-title":["Scientific Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41597-025-04838-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41597-025-04838-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41597-025-04838-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T03:30:03Z","timestamp":1743305403000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41597-025-04838-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,29]]},"references-count":52,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["4838"],"URL":"https:\/\/doi.org\/10.1038\/s41597-025-04838-8","relation":{},"ISSN":["2052-4463"],"issn-type":[{"value":"2052-4463","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,29]]},"assertion":[{"value":"16 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"533"}}