2022/06/15 by Rajarsi Gupta, Jakub Kaczmarzyk, Gupta, Rajarsi +7
Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging
paper · pdf · doi:10.48550/arxiv.2206.07573
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.