One most fundamental component of AI is machine learning (ML). There are three main approaches to ML: reinforcement, unsupervised, supervised learning. In reinforcement learning, the model is rewarded for making correct decisions. In unsupervised learning, the model is tasked to learn from data, b...
DEEP learningHISTOPATHOLOGYGENOMICSARTIFICIAL intelligenceMACHINE learningPATHOLOGISTSHistopathology and genomic profiling are cornerstones of precision oncology and are routinely obtained for patients with cancer. Traditionally, histopathology slides are manually reviewed by highly trained pathologists. Ge...
deep learning may be applied in cancer diagnosis, prognosis and treatment management. We also assess the current limitations and challenges for the application of deep learning in precision oncology, including the lack of phenotypically rich data and the need for more explainable deep learning models....
Deep learning in cancer genomics and histopathology Michaela Unger Jakob Nikolas Kather Genome Medicine (2024) Middle ear-acquired cholesteatoma diagnosis based on CT scan image mining using supervised machine learning models Naouar Ouattassi Mustapha Maaroufi Mohamed Nouredine El Amine El Alami Ben...
In the last 5 years, D... M Unger,JN Kather - 《Bmc Medical Genomics》 被引量: 0发表: 2024年 Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction Breast cancer is one of the precarious conditions that affect women, and a substantive cure has...
Here, we describe a novel supervised cancer classification framework, deep cancer subtype classification (DeepCC), based on deep learning of functional spectra quantifying activities of biological pathways. In two case studies about colorectal and breast cancer classification, DeepCC classifiers and DeepCC ...
Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancerVidhi Malik, Yogesh Kalakoti & Durai Sundar BMC Genomics volume 22, Article number: 214 (2021) Cite this article 11k Accesses 56 Citations 4 Altmetric Metrics details ...
Cancer Cell基于多模态深度学习的泛癌组织学-基因组学整合分析 Science Advances利用深度学习发现癌症中的...
Bloomberg~Kimmel Institute for Cancer Immunotherapy show that their deep-learning method, called BigMHC, can identify protein fragments on cancer cells that elicit a tumor cell-killing immune response, an essential step in understanding response to immunotherapy and in developing personali...
Machine learning This article is cited by Deep learning in cancer genomics and histopathology Michaela Unger Jakob Nikolas Kather Genome Medicine(2024) Leveraging explainable deep learning methodologies to elucidate the biological underpinnings of Huntington’s disease using single-cell RNA sequencing data ...