November 02, 2022 article Open access Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology Nature Communications DOI: 10.1038/s41467-022-34025-x Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 143 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 Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning 2024 EBioMedicine article Computer Science AI in cancer detection Open access 17 citations Next-generation lung cancer pathology: Development and validation of diagnostic and prognostic algorithms 2024 Cell Reports Medicine article Computer Science AI in cancer detection Open access cited by 1 patent 29 citations 2 results References 0