December 21, 2023 dissertation Taking advantages of new technologies, from deep-learning to Spatial omics : Toward a clinically relevant novel morpho-molecular classification of lung neuroendocrine tumours DOI: 10.70675/7463e286z9101z4a1dz8343z315aa5e81e0a OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 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 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 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 Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts 2022 The Lancet Digital Health article Computer Science AI in cancer detection Open access 134 citations 3 results