February 26, 2020 preprint Open access Predicting Endometrial Cancer Subtypes and Molecular Features from Histopathology Images Using Multi-resolution Deep Learning Models bioRxiv (Cold Spring Harbor Laboratory) DOI: 10.1101/2020.02.25.965038 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 23 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Deep Learning for Grading Endometrial Cancer 2024 American Journal Of Pathology article Computer Science AI in cancer detection Open access 22 citations Artificial intelligence to identify genetic alterations in conventional histopathology 2022 The Journal of Pathology article Computer Science AI in cancer detection Open access 131 citations Interpretable Deep Learning Predicts the Molecular Endometrial Cancer Classification from H&E Images: A Combined Analysis of the Portec Randomized Clinical Trials 2022 SSRN Electronic Journal preprint Computer Science AI in cancer detection Open access 1 citations 3 results References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Pan-cancer image-based detection of clinically actionable genetic alterations 2020 Nature Cancer article Computer Science AI in cancer detection Open access cited by 6 patents 699 citations 1 result