AI and Pathology: Steering Treatment and Predicting Outcomes

Autor: Gupta, Rajarsi, Kaczmarzyk, Jakub, Kobayashi, Soma, Kurc, Tahsin, Saltz, Joel
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
Popis: The combination of data analysis methods, increasing computing capacity, and improved sensors enable quantitative granular, multi-scale, cell-based analyses. We describe the rich set of application challenges related to tissue interpretation and survey AI methods currently used to address these challenges. We focus on a particular class of targeted human tissue analysis - histopathology - aimed at quantitative characterization of disease state, patient outcome prediction and treatment steering.
Databáze: arXiv