{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T06:29:59Z","timestamp":1793600999592,"version":"4.5.0"},"reference-count":57,"publisher":"IOP Publishing","issue":"11","license":[{"start":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T00:00:00Z","timestamp":1793577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T00:00:00Z","timestamp":1793577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"Anhui Provincial Natural Science Foundation","award":["2308085MF218"],"award-info":[{"award-number":["2308085MF218"]}]},{"name":"Research Funds of Joint Research Center for Occupational Medicine and Health of IHM","award":["OMH-2023-05"],"award-info":[{"award-number":["OMH-2023-05"]}]},{"name":"Natural Science Research Project of Anhui Educational Committee","award":["2024AH050399"],"award-info":[{"award-number":["2024AH050399"]}]},{"name":"Youth Science Research Project of Anhui University of Science & Technology","award":["QNZD202202"],"award-info":[{"award-number":["QNZD202202"]}],"id":[{"id":"https:\/\/ror.org\/00q9atg80","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Science and Technology Plan Project of Huainan City","award":["2023142"],"award-info":[{"award-number":["2023142"]}]},{"name":"National Natural Science Foundation of China","award":["52374155"],"award-info":[{"award-number":["52374155"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Medical Special Cultivation Project of Anhui University of Science and Technology","award":["YZ2023H2A007"],"award-info":[{"award-number":["YZ2023H2A007"]}],"id":[{"id":"https:\/\/ror.org\/00q9atg80","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Young and Middle aged Teacher Training Action Project of Colleges and Universities in Anhui Province","award":["YQZD2023035"],"award-info":[{"award-number":["YQZD2023035"]}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Med. Eng. Phys."],"published-print":{"date-parts":[[2026,11,2]]},"DOI":"10.1088\/1873-4030\/aeb605","type":"journal-article","created":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T22:47:50Z","timestamp":1792450070000},"page":"115005","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["MCCNet: a multi-granularity collaborative cascaded-perception network for colorectal cancer histopathological diagnosis"],"prefix":"10.1088","volume":"147","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6892-3184","authenticated-orcid":true,"given":"Shuzhi","family":"Su","sequence":"first","affiliation":[{"name":"Anhui University of Science & Technology"},{"name":"The First Hospital, Anhui University of Science & Technology"},{"name":"Anhui University of Science & Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kexue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Anhui University of Science & Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6649-7775","authenticated-orcid":true,"given":"Yanmin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Anhui University of Science & Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoni","family":"Zhong","sequence":"additional","affiliation":[{"name":"Shenzhen People\u2019s Hospital, The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6840-9158","authenticated-orcid":true,"given":"Yong","family":"Dai","sequence":"additional","affiliation":[{"name":"The First Hospital, Anhui University of Science & Technology"},{"name":"Anhui University of Science & Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,11,2]]},"reference":[{"key":"mepaeb605bib1","doi-asserted-by":"publisher","first-page":"5791","DOI":"10.1007\/s00521-022-06960-9","type":"journal-article","article-title":"Literature review: efficient deep neural networks techniques for medical image analysis","volume":"34","author":"Abdou","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"mepaeb605bib2","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1109\/ICMLT69916.2026.11688928","type":"conference-proceedings","article-title":"Pairwise surrogate learning for neural architecture ranking in digital pathology","author":"Ak\u00e7elik","year":"2026"},{"key":"mepaeb605bib3","doi-asserted-by":"publisher","first-page":"e1031","DOI":"10.7717\/peerj-cs.1031","type":"journal-article","article-title":"Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images","volume":"8","author":"Albashish","year":"2022","journal-title":"PeerJ Comput. Sci."},{"key":"mepaeb605bib4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-21119-x","type":"journal-article","article-title":"Cervical cancer prediction using deformable kernel darknet-53 and depth wise separable convolutional neural networks","volume":"15","author":"Ameta","year":"2025","journal-title":"Sci. Rep."},{"key":"mepaeb605bib5","doi-asserted-by":"publisher","first-page":"1441","DOI":"10.3390\/cancers16071441","type":"journal-article","article-title":"Pathological insights: enhanced vision transformers for the early detection of colorectal Cancer","volume":"16","author":"Ayana","year":"2024","journal-title":"Cancers"},{"key":"mepaeb605bib6","doi-asserted-by":"publisher","first-page":"3035","DOI":"10.21037\/tcr-2024-2348","type":"journal-article","article-title":"Deep learning for fine-grained molecular-based colorectal cancer classification","volume":"14","author":"Bian","year":"2025","journal-title":"Transl. Cancer Res."},{"key":"mepaeb605bib7","doi-asserted-by":"publisher","first-page":"68981","DOI":"10.1109\/ACCESS.2024.3401240","type":"journal-article","article-title":"A novel colorectal histopathological image classification method based on progressive multi-granularity feature fusion of patch","volume":"12","author":"Cao","year":"2024","journal-title":"IEEE Access."},{"key":"mepaeb605bib8","first-page":"5513","type":"conference-proceedings","article-title":"UniRepLKNet: a universal perception large-kernel convnet for audio video point cloud time-series and image recognition","author":"Ding","year":"2024"},{"key":"mepaeb605bib9","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929","type":"other","article-title":"An image is worth 16x16 words: transformers for image recognition at scale","author":"Dosovitskiy","year":"2021"},{"key":"mepaeb605bib10","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1186\/s13000-024-01461-w","type":"journal-article","article-title":"Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system","volume":"19","author":"Dunn","year":"2024","journal-title":"Diagn. Pathol."},{"key":"mepaeb605bib11","doi-asserted-by":"publisher","first-page":"3126","DOI":"10.3390\/electronics13163126","type":"journal-article","article-title":"Adaptive dynamic learning rate optimization technique for colorectal cancer diagnosis based on histopathological image using EfficientNet-B0 deep learning model","volume":"13","author":"El-Ghany","year":"2024","journal-title":"Electronics"},{"key":"mepaeb605bib12","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106970","type":"journal-article","article-title":"Transformer based on multi-scale local feature for colon cancer histopathological image classification","volume":"100","author":"Fu","year":"2025","journal-title":"Biomed. Signal Process. Control."},{"key":"mepaeb605bib13","article-title":"FasterViT: fast vision transformers with hierarchical attention","author":"Hatamizadeh","year":"2024","type":"preprint"},{"key":"mepaeb605bib14","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1109\/CVPR.2016.90","type":"conference-proceedings","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"mepaeb605bib15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2023.102534","type":"journal-article","article-title":"EBHI: a new enteroscope biopsy histopathological H&E image dataset for image classification evaluation","volume":"107","author":"Hu","year":"2023","journal-title":"Phys. Med."},{"key":"mepaeb605bib16","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.105534","type":"journal-article","article-title":"HiFuse: hierarchical multi-scale feature fusion network for medical image classification","volume":"87","author":"Huo","year":"2024","journal-title":"Biomed. Signal Process. Control."},{"key":"mepaeb605bib17","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1038\/s42256-024-00868-w","type":"journal-article","article-title":"A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas","volume":"6","author":"Jiang","year":"2024","journal-title":"Nat. Mach. Intell."},{"key":"mepaeb605bib18","doi-asserted-by":"publisher","DOI":"10.1038\/srep27988","type":"journal-article","article-title":"Multi-class texture analysis in colorectal cancer histology","volume":"6","author":"Kather","year":"2016","journal-title":"Sci. Rep."},{"key":"mepaeb605bib19","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104172","type":"journal-article","article-title":"CRCCN-Net: automated framework for classification of colorectal tissue using histopathological images","volume":"79","author":"Kumar","year":"2023","journal-title":"Biomed. Signal Process. Control."},{"key":"mepaeb605bib20","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2025.1659010","type":"journal-article","article-title":"A lightweight CNN for colon cancer tissue classification and visualization","volume":"15","author":"Li","year":"2025","journal-title":"Front. Oncol."},{"key":"mepaeb605bib21","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1109\/CBASE64041.2024.10824558","type":"conference-proceedings","article-title":"Transformer-based self-supervised learning and distillation for medical image classification: improving colorectal cancer detection on NCT-CRC-HE-100K with Swin-T V2","author":"Li","year":"2024"},{"key":"mepaeb605bib22","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.111323","type":"journal-article","article-title":"An efficient medical image classification network based on multi-branch CNN, token grouping Transformer and mixer MLP","volume":"153","author":"Liu","year":"2024","journal-title":"Appl. Soft Comput."},{"key":"mepaeb605bib23","doi-asserted-by":"publisher","first-page":"9992","DOI":"10.1109\/ICCV48922.2021.00986","type":"conference-proceedings","article-title":"Swin transformer: hierarchical vision transformer using shifted windows","author":"Liu","year":"2021"},{"key":"mepaeb605bib24","first-page":"11976","type":"conference-proceedings","article-title":"A ConvNet for the 2020s","author":"Liu","year":"2022"},{"key":"mepaeb605bib25","doi-asserted-by":"publisher","first-page":"11534","DOI":"10.1109\/TNNLS.2025.3550979","type":"journal-article","article-title":"TransXNet: learning both global and local dynamics with a dual dynamic token mixer for visual recognition","volume":"36","author":"Lou","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"mepaeb605bib26","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2025.108674","type":"journal-article","article-title":"MSCR-Net: multipath separable convolution-based residual network for segmentation of colorectal polyp","volume":"112","author":"Manan","year":"2026","journal-title":"Biomed. Signal Process. Control."},{"key":"mepaeb605bib27","doi-asserted-by":"publisher","first-page":"21","DOI":"10.21037\/atm.2019.07.91","type":"journal-article","article-title":"Concise update on colorectal cancer epidemiology","volume":"7","author":"Mattiuzzi","year":"2019","journal-title":"Ann. Transl. Med."},{"key":"mepaeb605bib28","doi-asserted-by":"publisher","first-page":"338-344","DOI":"10.1136\/gutjnl-2022-327736","type":"journal-article","article-title":"Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN","volume":"72","author":"Morgan","year":"2023","journal-title":"Gut"},{"key":"mepaeb605bib29","doi-asserted-by":"publisher","first-page":"8755","DOI":"10.1038\/s41598-024-58382-3","type":"journal-article","article-title":"Analyzing to discover origins of CNNs and ViT architectures in medical images","volume":"14","author":"Oh","year":"2024","journal-title":"Sci. Rep."},{"key":"mepaeb605bib30","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-93746-z","type":"journal-article","article-title":"CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance","volume":"11","author":"Oliveira","year":"2021","journal-title":"Sci. Rep."},{"key":"mepaeb605bib31","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106472","type":"journal-article","article-title":"Enhanced-TransUNet for ultrasound segmentation of thyroid nodules","volume":"95","author":"Ozcan","year":"2024","journal-title":"Biomed. Signal Process. Control."},{"key":"mepaeb605bib32","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.113625","type":"journal-article","article-title":"Hybrid deep learning model for automated colorectal cancer detection using local and global feature extraction","volume":"319","author":"Pacal","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"mepaeb605bib33","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106933","type":"journal-article","article-title":"EL-CNN: an enhanced lightweight classification method for colorectal cancer histopathological images","volume":"100","author":"Pan","year":"2025","journal-title":"Biomed. Signal Process. Control."},{"key":"mepaeb605bib34","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2025.1581398","type":"journal-article","article-title":"PSMD12 promotes hepatocellular carcinoma progression by stabilizing CDK1","volume":"16","author":"Peng","year":"2025","journal-title":"Front. Immunol."},{"key":"mepaeb605bib35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s42047-024-00144-6","type":"journal-article","article-title":"Assessing the applicability and interobserver variability of tumor budding and poorly differentiated clusters in colorectal cancer","volume":"7","author":"Reis","year":"2024","journal-title":"Surg. Exp. Pathol."},{"key":"mepaeb605bib36","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1186\/s12943-025-02465-w","type":"journal-article","article-title":"Circulating tumor cells: mechanisms and clinical significance in colorectal cancer metastasis","volume":"24","author":"Ren","year":"2025","journal-title":"Mol. Cancer."},{"key":"mepaeb605bib37","doi-asserted-by":"publisher","DOI":"10.1016\/j.intimp.2024.113325","type":"journal-article","article-title":"Unraveling the complexities of colorectal cancer and its promising therapies\u2014An updated review","volume":"143","author":"Saha","year":"2024","journal-title":"Int. Immunopharmacol."},{"key":"mepaeb605bib38","doi-asserted-by":"publisher","first-page":"4510","DOI":"10.1109\/CVPR.2018.00474","type":"conference-proceedings","article-title":"MobileNetV2: inverted Residuals and Linear Bottlenecks","author":"Sandler","year":"2018"},{"key":"mepaeb605bib39","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s00432-025-06199-6","type":"journal-article","article-title":"ColoViT: a synergistic integration of EfficientNet and vision transformers for advanced colon cancer detection","volume":"151","author":"Sathyanarayana","year":"2025","journal-title":"J. Cancer Res. Clin. Oncol."},{"key":"mepaeb605bib40","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106928","type":"journal-article","article-title":"Artificial intelligence based real time colorectal cancer screening study: polyp segmentation and classification using multi-house database","volume":"99","author":"Selvaraj","year":"2025","journal-title":"Biomed. Signal Process. Control."},{"key":"mepaeb605bib41","doi-asserted-by":"publisher","first-page":"6914","DOI":"10.1038\/s41598-024-56820-w","type":"journal-article","article-title":"Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform","volume":"14","author":"Sharkas","year":"2024","journal-title":"Sci. Rep."},{"key":"mepaeb605bib42","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0335418","type":"journal-article","article-title":"Diagnosis of colorectal cancer using residual transformer with mixed attention and explainable AI","volume":"20","author":"Sharma","year":"2025","journal-title":"PLoS One"},{"key":"mepaeb605bib43","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/978-3-031-45676-3_21","type":"book","article-title":"MoViT: memorizing vision transformers for medical image analysis","author":"Shen","year":"2024"},{"key":"mepaeb605bib44","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2023.101423","type":"journal-article","article-title":"Introducing a deep learning method for brain tumor classification using MRI data towards better performance","volume":"44","author":"Simo","year":"2024","journal-title":"Inform. Med. Unlocked."},{"key":"mepaeb605bib45","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106579","type":"journal-article","article-title":"TransNetV: an optimized hybrid model for enhanced colorectal cancer image classification","volume":"96","author":"Tanveer","year":"2024","journal-title":"Biomed. Signal Process. Control."},{"key":"mepaeb605bib46","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9998819","type":"journal-article","article-title":"Biomedical image classification in a big data architecture using machine learning algorithms","volume":"2021","author":"Tchapga","year":"2021","journal-title":"J. Healthc. Eng."},{"key":"mepaeb605bib47","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1053\/j.gastro.2025.03.007","type":"journal-article","article-title":"The efficacy of texture and color enhancement imaging observation in the detection of colorectal lesions: a multicenter, randomized controlled trial (deTXIon Study)","volume":"169","author":"Toyoshima","year":"2025","journal-title":"Gastroenterology"},{"key":"mepaeb605bib48","first-page":"9718","type":"conference-proceedings","article-title":"LSNet: see Large, Focus Small","author":"Wang","year":"2025"},{"key":"mepaeb605bib49","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.210284","type":"journal-article","article-title":"Toward foundational deep learning models for medical imaging in the new era of transformer networks","volume":"4","author":"Willemink","year":"2022","journal-title":"Radiol. Artif. Intell."},{"key":"mepaeb605bib50","doi-asserted-by":"publisher","first-page":"10516","DOI":"10.21037\/qims-24-2120","type":"journal-article","article-title":"An optimal imaging modality based on different predictive risk factors for evaluating local staging of rectal cancer preoperatively: a comparative study of MRI and endorectal ultrasound","volume":"15","author":"Yang","year":"2025","journal-title":"Quant. Imaging Med. Surg."},{"key":"mepaeb605bib51","doi-asserted-by":"publisher","first-page":"164","DOI":"10.2174\/1574893616666210708143556","type":"journal-article","article-title":"Cervical cancer metastasis and recurrence risk prediction based on deep convolutional neural network","volume":"17","author":"Ye","year":"2022","journal-title":"Curr. Bioinform."},{"key":"mepaeb605bib52","article-title":"MedMamba: vision Mamba for Medical Image Classification","author":"Yue","year":"2024","type":"preprint"},{"key":"mepaeb605bib53","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1109\/ICICIS52592.2021.9694125","type":"conference-proceedings","article-title":"Multiclass colorectal cancer histology images classification using vision transformers","author":"Zeid","year":"2021"},{"key":"mepaeb605bib54","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s10462-024-10721-6","type":"journal-article","article-title":"A review of convolutional neural networks in computer vision","volume":"57","author":"Zhao","year":"2024","journal-title":"Artif. Intell. Rev."},{"key":"mepaeb605bib55","doi-asserted-by":"publisher","DOI":"10.1016\/j.jep.2024.119126","type":"journal-article","article-title":"Chrysotoxine regulates ferroptosis and the PI3K\/AKT\/mTOR pathway to prevent cervical cancer","volume":"338","author":"Zhou","year":"2025","journal-title":"J. Ethnopharmacol."},{"key":"mepaeb605bib56","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-18879-1","type":"journal-article","article-title":"HCCANet: histopathological image grading of colorectal cancer using CNN based on multichannel fusion attention mechanism","volume":"12","author":"Zhou","year":"2022","journal-title":"Sci. Rep."},{"key":"mepaeb605bib57","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1109\/TMI.2021.3125459","type":"journal-article","article-title":"Hard sample aware noise robust learning for histopathology image classification","volume":"41","author":"Zhu","year":"2022","journal-title":"IEEE Trans. Med. Imaging."}],"container-title":["Medical Engineering &amp; Physics"],"original-title":[],"link":[{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605","content-type":"text\/html","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"similarity-checking"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T06:18:17Z","timestamp":1793600297000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1873-4030\/aeb605"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11,2]]},"references-count":57,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2026,11,2]]},"published-print":{"date-parts":[[2026,11,2]]}},"URL":"https:\/\/doi.org\/10.1088\/1873-4030\/aeb605","relation":{},"ISSN":["1350-4533","1873-4030"],"issn-type":[{"value":"1350-4533","type":"print"},{"value":"1873-4030","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,11,2]]},"assertion":[{"value":"MCCNet: a multi-granularity collaborative cascaded-perception network for colorectal cancer histopathological diagnosis","name":"article_title","label":"Article Title"},{"value":"Medical Engineering & Physics","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2026 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2026-08-31","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-10-19","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-11-02","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}