Computer Vision to Deeply Phenotype Human Diseases Across Physiological, Tissue, and Molecular Scales

Computer vision (CV) uses machines to understand and analyze images. When coupled with machine learning (ML), this technology has broad implications for the field of cancer research. In this webinar, Dr. James Zou will present new CV algorithms and describe how these can help identify the morphologies and phenotypes associated with complex diseases, such as cancer. He will discuss the general principles behind this technology as well as current ML tools, such as Ghorbani, NeurIPS 2020, Abid, and Nature MI 2020.