Deep Learning for Classification of Colorectal Polyps on Whole-slide Images
Korbar, Bruno, Olofson, Andrea M., Miraflor, Allen P, Nicka, Catherine M., Suriawinata, Matthew A., Torresani, Lorenzo, Suriawinata, Arief A., Hassanpour, Saeed·2017·Journal of Pathology Informatics
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- THE PROSPECTS OF USING ARTIFICIAL INTELLIGENCE IN THE MORPHOLOGICAL DIAGNOSIS OF GASTROINTESTINAL TUMORSNikolay Karnaukhov, M.G. Sogomonyan, Mark V. Voloshin, V.A. Khomyakov · 2024 · Современные проблемы науки и образования
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- Celiac Disease Classification Using Linear Support Vector MachineNisha, Prachi Chaudhary · 2025 · Algorithms for intelligent systems
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- Improving Generative Data Augmentation with Prior-Knowledge for Dysplasia Grading of Colorectal PolypsRoberto Craparotta, Desislav Ivanov, Carlo Alberto Barbano, Enzo Tartaglione, Alessandro Gambella, Luca Cavallo, Paola Cassoni, Luca Bertero, Marco Grangetto · 2026 · Lecture notes in computer science
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- Histopathology image analysis for colorectal cancer using deep learning techniques: A comprehensive surveySanjeev Kumar, Pramod Kumar Mishra · 2026 · Engineering Applications of Artificial Intelligence
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- Machine Learning for Feature Extraction in Mueller Polarimetry Based Digital PathologyValery Victorovich Tuchin, Tatiana Novikova, Lihong V. Wang, Dmitry A. Zimnyakov, Hui Ma, Алонова Марина Васильевна, Jiachen Wan · 2026 · Springer series in biophysics
- Potential applications of artificial intelligence technology in assessing mitotic activity of gastrointestinal stromal tumors of the stomachI. D. Musatov, V.O. Osipov, Вербовский Александр Николаевич, Galiya R. Setdikova, A.V. Semenkov · 2026 · Russian Journal of Archive of Pathology
- Impact of artificial intelligence (AI) on disease diagnosis and detectionS. Manimaran, Shreenidhi KS, Anand Nayyaar, Harishchander Anandaram · 2026 · Elsevier eBooks
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- Harnessing Pathology Foundation Models to Accelerate Lymphoma Diagnosis Through Automated Immunohistochemistry TriageIbrahim Safa, Michael Hazoglu, Pallavi Kanwar Galera, Chad Vanderbilt, Ali Kamali, Gregory Mark Goldgof, Harini Veeraraghavan, Jue Jiang, Orly Ardon, Luke Geneslaw et al. · 2026 · medRxiv