Explore cutting-edge applications of deep learning in digital pathology and embryology through this comprehensive conference talk from the Computational Genomics Summer Institute (CGSI) 2023. Delve into groundbreaking research on non-invasive AI approaches for predicting human blastocyst ploidy, weakly-supervised tumor purity prediction from frozen H&E stained slides, and robust assessment and selection of human blastocysts after in vitro fertilization. Gain insights from related studies published in prestigious journals such as Lancet Digital Health, EBioMedicine, and NPJ Digital Medicine. Learn about innovative techniques that combine artificial intelligence with medical imaging to advance reproductive medicine and cancer diagnostics.
Applications of Deep Learning in Digital Pathology and Embryology - CGSI 2023
Computational Genomics Summer Institute CGSI via YouTube
Overview
Syllabus
EBioMedicine. 2022 Jun;4067.
Khosravi P, Kazemi E, Zhan Q, Malmsten JE, Toschi M, Zisimopoulos P, Sigaras A, Lavery S, Cooper LAD, Hickman C, Meseguer M, Rosenwaks Z, Elemento O, Zaninovic N, Hajirasouliha I. NPJ Digit Med. 2019 Apr 4;."
Taught by
Computational Genomics Summer Institute CGSI
