Prognostic prediction based on histopathologic features of tumor microenvironment in colorectal cancer
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2023.1154077
Abstract: Purpose To automatically quantify colorectal tumor microenvironment (TME) in hematoxylin and eosin stained whole slide images (WSIs), and to develop a TME signature for prognostic prediction in colorectal cancer (CRC). Methods A deep learning model… read more here.
Keywords: signature; prognostic prediction; tumor microenvironment; tme signature ... See more keywords