February 24, 2024 article Open access Extracting interpretable features for pathologists using weakly supervised learning to predict p16 expression in oropharyngeal cancer Scientific Reports DOI: 10.1038/s41598-024-55288-y Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 8 References 3 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 in cancer pathology: a new generation of clinical biomarkers 2020 British Journal of Cancer article Computer Science AI in cancer detection Open access cited by 2 patents 697 citations Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology 2022 Medical Image Analysis article Computer Science AI in cancer detection Open access 186 citations Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology 2022 Journal of Hepatology article Computer Science AI in cancer detection Open access 121 citations 3 results