August 23, 2024 article Open access AI-driven transcriptomic encoders: From explainable models to accurate, sample-independent cancer diagnostics Expert Systems with Applications DOI: 10.1016/j.eswa.2024.125126 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 5 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 An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides 2023 Expert Systems with Applications article Computer Science AI in cancer detection 13 citations 1 result