Artificial Intelligence and Deep Learning in Pathology

Dr. Cohen is currently interested in integrating computational imaging with digital workflows. He previously served as President of the American Society for Investigative Pathology (ASIP) and Treasurer and Member of the Executive Board of FASEB. Science-related activities also include chairmanships of study sections for the NIH and DOD and membership on multiple editorial boards. He is currently the Associate Editor for digital and computational pathology and artificial intelligence topic category for the American Journal of Pathology. He is a Senior Fellow of the Association of Pathology Chairs and Co-Chair of the ASIP Special Interest Group on Digital and Computational Pathology. Awards include the Gold-Headed Cane (ASIP) and the Golden Goose Award (AAAS). He is a member of the Digital Pathology Association (DPA), the Board of the International Academy of Digital Pathology (IADP), and Chair of the External Advisory Board of the Alpert Foundation.

"We do, however, need to understand AI and adapt to it. This book is a great introduction, as well as a stimulating read. It is recommended for those interested in AI, software or the future of pathology." -Dr Niall O'Neill (Bulletin of the Royal College of Pathologists, January 2021)

• The evolution of machine learning: past, present, and futureStanley CohenThe basics of machine learning: strategies and techniquesStanley CohenOverview of advanced neural network architecturesBenjamin R. MitchellComplexity in the use of artificial intelligence in anatomic pathologyStanley CohenDealing with data: strategies of preprocessing dataStanley CohenDigital pathology as a platform for primary diagnosis and augmentation via deep learning.Anil V. ParwaniApplications of artificial intelligence for image enhancement in pathology Tanishq Abraham, Austin Todd, Daniel A. Orringer and Richard LevensonPrecision medicine in digital pathology via image analysis and machine learningPeter D. Caie, Neofytos Dimitriou and Ognjen Arandjelovi'cArtificial intelligence methods for predictive image-based grading of human cancersGerardo Fernandez, Abishek Sainath Madduri, Bahram Marami, Marcel Prastawa, Richard Scott, Jack Zeineh and Michael DonovanArtificial intelligence and the interplay between tumor and immunityJoel Haskin Saltz and Rajarsi GuptaOverview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant John E. Tomaszewski