{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T14:48:54Z","timestamp":1764859734695,"version":"3.41.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"16","license":[{"start":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T00:00:00Z","timestamp":1741651200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T00:00:00Z","timestamp":1741651200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s00521-025-11143-3","type":"journal-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T15:20:42Z","timestamp":1741706442000},"page":"10119-10140","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Integrating convolutional and recurrent neural networks for lung and colon disease detection"],"prefix":"10.1007","volume":"37","author":[{"given":"Anirudh","family":"Singh","sequence":"first","affiliation":[]},{"given":"Satyam","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"Jayesh","family":"Gangrade","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6396-3355","authenticated-orcid":false,"given":"Yadvendra Pratap","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Tapan Kumar","family":"Dey","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,11]]},"reference":[{"key":"11143_CR1","doi-asserted-by":"publisher","unstructured":"Gangrade S, Sharma PC, Sharma AK (2023) Colonoscopy Polyp Segmentation using Deep Residual U-Net with Bottleneck Attention Module. In: 2023 fifth international conference on electrical, computer and communication technologies (ICECCT), Erode, India, pp 1\u20136. https:\/\/doi.org\/10.1109\/ICECCT56650.2023.10179818.","DOI":"10.1109\/ICECCT56650.2023.10179818"},{"key":"11143_CR2","doi-asserted-by":"publisher","first-page":"1273253","DOI":"10.3389\/fpubh.2023.1273253","volume":"11","author":"M Li","year":"2023","unstructured":"Li M, Jiang Y, Zhang Y, Zhu H (2023) Medical image analysis using deep learning algorithms. Front Public Health 11:1273253. https:\/\/doi.org\/10.3389\/fpubh.2023.1273253","journal-title":"Front Public Health"},{"key":"11143_CR3","unstructured":"https:\/\/ascopost.com\/news\/february-2024\/global-cancer-burden-may-be-growing-amidst-mounting-need-for-cancerservices\/#:~:text=Lung%20cancer%20was%20also%20the,(660%2C000%20deaths%2C%206.8%25). last Accesses March 2024"},{"key":"11143_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108096","author":"S Gangrade","year":"2024","unstructured":"Gangrade S, Sharma PC, Sharma AK, Singh YP (2024) Modified DeeplabV3+ with multi-level context attention mechanism for colonoscopy polyp segmentation. Comput Biol Med. https:\/\/doi.org\/10.1016\/j.compbiomed.2024.108096","journal-title":"Comput Biol Med"},{"key":"11143_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/s13218-024-00833-0","author":"S Gangrade","year":"2024","unstructured":"Gangrade S, Sharma PC, Sharma AK (2024) Colonoscopy polyp detection using Bi-Directional Conv-LSTM U-Net with densely connected convolution. K\u00fcnstl Intell. https:\/\/doi.org\/10.1007\/s13218-024-00833-0","journal-title":"K\u00fcnstl Intell"},{"issue":"3","key":"11143_CR6","doi-asserted-by":"publisher","first-page":"748","DOI":"10.3390\/s21030748","volume":"21","author":"M Masud","year":"2021","unstructured":"Masud M et al (2021) A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework. Sensors 21(3):748","journal-title":"Sensors"},{"key":"11143_CR7","doi-asserted-by":"publisher","first-page":"117695","DOI":"10.1016\/j.eswa.2022.117695","volume":"205","author":"Md Alamin Talukder","year":"2022","unstructured":"Alamin Talukder Md et al (2022) Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning. Expert Syst Appl 205:117695","journal-title":"Expert Syst Appl"},{"issue":"12","key":"11143_CR8","doi-asserted-by":"publisher","first-page":"2926","DOI":"10.3390\/diagnostics12122926","volume":"12","author":"O Attallah","year":"2022","unstructured":"Attallah O, Aslan MF, Sabanci K (2022) A framework for lung and colon cancer diagnosis via lightweight deep learning models and transformation methods. Diagnostics 12(12):2926","journal-title":"Diagnostics"},{"key":"11143_CR9","doi-asserted-by":"crossref","unstructured":"Al-Mamun Provath Md, Deb K, Jo K-H (2023) Classification of lung and colon cancer using deep learning method, International workshop on frontiers of computer vision. Springer Nature Singapore, Singapore","DOI":"10.1007\/978-981-99-4914-4_5"},{"issue":"3","key":"11143_CR10","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1007\/s13246-022-01139-x","volume":"45","author":"A Hage Chehade","year":"2022","unstructured":"Hage Chehade A et al (2022) Lung and colon cancer classification using medical imaging: a feature engineering approach. Phys Eng Sci Med 45(3):729\u2013746","journal-title":"Phys Eng Sci Med"},{"key":"11143_CR11","doi-asserted-by":"crossref","unstructured":"Wahid RR et al (2023) Lung and colon cancer detection with convolutional neural networks on histopathological images. In: AIP conference proceedings. Vol 2654. No 1. AIP Publishing","DOI":"10.1063\/5.0114327"},{"key":"11143_CR12","doi-asserted-by":"crossref","unstructured":"Kumar A, L Nelson, VS Venu (2024) Detecting colon and lung cancer through deep learning CNN model. In: 2024 2nd International conference on computer, communication and control (IC4). IEEE","DOI":"10.1109\/IC457434.2024.10486421"},{"key":"11143_CR13","doi-asserted-by":"crossref","unstructured":"Mridha K et al (2022) Deep learning in lung and colon cancer classifications. In: 2022 International conference on advances in computing, communication and materials (ICACCM). IEEE","DOI":"10.1109\/ICACCM56405.2022.10009311"},{"key":"11143_CR14","doi-asserted-by":"crossref","unstructured":"Godkhindi AM, Rajaram MG (2017) Automated detection of polyps in CT colonography images using deep learning algorithms in colon cancer diagnosis. In: 2017 International conference on energy, communication, data analytics and soft computing (ICECDS). IEEE","DOI":"10.1109\/ICECDS.2017.8389744"},{"issue":"6","key":"11143_CR15","first-page":"967","volume":"27","author":"MSN Raju","year":"2022","unstructured":"Raju MSN, Rao BS (2022) Classification of colon and lung cancer through analysis of histopathology images using deep learning models. Ingenierie des Systemes d\u2019Information 27(6):967","journal-title":"Ingenierie des Systemes d\u2019Information"},{"key":"11143_CR16","unstructured":"Mangal S, Chaurasia A, Khajanchi A (2020) Convolution neural networks for diagnosing colon and lung cancer histopathological images. arXiv preprint arXiv:2009.03878"},{"issue":"5","key":"11143_CR17","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.3390\/cancers15051591","volume":"15","author":"HA Mengash","year":"2023","unstructured":"Mengash HA et al (2023) Leveraging marine predators algorithm with deep learning for lung and colon cancer diagnosis. Cancers 15(5):1591","journal-title":"Cancers"},{"key":"11143_CR18","doi-asserted-by":"publisher","first-page":"103596","DOI":"10.1016\/j.bspc.2022.103596","volume":"75","author":"N Kumar","year":"2022","unstructured":"Kumar N et al (2022) An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images. Biomed Signal Process Control 75:103596","journal-title":"Biomed Signal Process Control"},{"key":"11143_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104827","volume":"137","author":"M To\u011fa\u00e7ar","year":"2021","unstructured":"To\u011fa\u00e7ar M (2021) Disease type detection in lung and colon cancer images using the complement approach of inefficient sets. Comput Biol Med 137:104827","journal-title":"Comput Biol Med"},{"key":"11143_CR20","doi-asserted-by":"publisher","first-page":"104730","DOI":"10.1016\/j.compbiomed.2021.104730","volume":"136","author":"A Ben Hamida","year":"2021","unstructured":"Ben Hamida A et al (2021) Deep learning for colon cancer histopathological images analysis. Comput Biol Med 136:104730","journal-title":"Comput Biol Med"},{"key":"11143_CR21","first-page":"85","volume":"32","author":"JD Akinyemi","year":"2023","unstructured":"Akinyemi JD et al (2023) Lung and colon cancer detection from CT images using deep learning. Mach Gr Vis 32:85","journal-title":"Mach Gr Vis"},{"key":"11143_CR22","doi-asserted-by":"crossref","unstructured":"Shandilya S, SR Nayak (2022) Analysis of lung cancer by using deep neural network. In: Innovation in electrical power engineering, communication, and computing technology: proceedings of second IEPCCT 2021. Springer Singapore","DOI":"10.1007\/978-981-16-7076-3_37"},{"issue":"1","key":"11143_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.6703\/IJASE.202303_20(1).006","volume":"20","author":"S Hadiyoso","year":"2023","unstructured":"Hadiyoso S, Aulia S, Irawati ID (2023) Diagnosis of lung and colon cancer based on clinical pathology images using convolutional neural network and CLAHE framework. Int J Appl Sci Eng 20(1):1\u20137","journal-title":"Int J Appl Sci Eng"},{"key":"11143_CR24","doi-asserted-by":"publisher","first-page":"104003","DOI":"10.1016\/j.compbiomed.2020.104003","volume":"126","author":"I Pacal","year":"2020","unstructured":"Pacal I et al (2020) A comprehensive review of deep learning in colon cancer. Comput Biol Med 126:104003","journal-title":"Comput Biol Med"},{"issue":"2","key":"11143_CR25","doi-asserted-by":"publisher","first-page":"74","DOI":"10.3390\/bdcc7020074","volume":"7","author":"D Alboaneen","year":"2023","unstructured":"Alboaneen D et al (2023) Predicting colorectal cancer using machine and deep learning algorithms: challenges and opportunities. Big Data Cognit Comput 7(2):74","journal-title":"Big Data Cognit Comput"},{"issue":"8","key":"11143_CR26","first-page":"4149","volume":"15","author":"O Singh","year":"2023","unstructured":"Singh O, Singh KK (2023) An approach to classify lung and colon cancer of histopathology images using deep feature extraction and an ensemble method. Int J Inform Technol 15(8):4149\u20134160","journal-title":"Int J Inform Technol"},{"key":"11143_CR27","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2022.0130833","author":"N Yahia Ibrahim","year":"2022","unstructured":"Yahia Ibrahim N, Talaat AS (2022) An enhancement technique to diagnose colon and lung cancer by using double CLAHE and deep learning. Int J Adv Comput Sci Appl. https:\/\/doi.org\/10.14569\/IJACSA.2022.0130833","journal-title":"Int J Adv Comput Sci Appl"},{"issue":"9","key":"11143_CR28","doi-asserted-by":"publisher","first-page":"1594","DOI":"10.3390\/diagnostics13091594","volume":"13","author":"S Tummala","year":"2023","unstructured":"Tummala S et al (2023) An explainable classification method based on complex scaling in histopathology images for lung and colon cancer. Diagnostics 13(9):1594","journal-title":"Diagnostics"},{"key":"11143_CR29","doi-asserted-by":"publisher","first-page":"94705","DOI":"10.1109\/ACCESS.2023.3309711","volume":"11","author":"M Obayya","year":"2023","unstructured":"Obayya M et al (2023) Biomedical image analysis for colon and lung cancer detection using tuna swarm algorithm with deep learning model. IEEE Access 11:94705","journal-title":"IEEE Access"},{"key":"11143_CR30","unstructured":"Borkowski AA et al (2019) Lung and colon cancer histopathological image dataset (lc25000). arXiv preprint arXiv:1912.12142."},{"key":"11143_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10586-024-04475-7","volume":"27","author":"N Mehrabi Hashjin","year":"2024","unstructured":"Mehrabi Hashjin N et al (2024) Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization. Clust Comput 27:1\u201338","journal-title":"Clust Comput"},{"issue":"1","key":"11143_CR32","doi-asserted-by":"publisher","first-page":"5032","DOI":"10.1038\/s41598-024-54910-3","volume":"14","author":"MH Amiri","year":"2024","unstructured":"Amiri MH et al (2024) Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm. Sci Rep 14(1):5032","journal-title":"Sci Rep"},{"key":"11143_CR33","first-page":"1","volume":"14","author":"MH Amiri","year":"2024","unstructured":"Amiri MH et al (2024) Monitoring UAV status and detecting insulator faults in transmission lines with a new classifier based on aggregation votes between neural networks by interval type-2 TSK fuzzy system. Soft Comput 14:1\u201334","journal-title":"Soft Comput"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-11143-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-025-11143-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-11143-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T07:08:39Z","timestamp":1748329719000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-025-11143-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,11]]},"references-count":33,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["11143"],"URL":"https:\/\/doi.org\/10.1007\/s00521-025-11143-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2025,3,11]]},"assertion":[{"value":"5 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 February 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}