未登录Next generation H&E cell modeling: Using same-slide multiplex immunofluorescence (mIF) data to train H&E
Arbiv, Becky; Bart, Amit; Dankovich, Tal; Elran, Ron; Bookstein, Shai; Laniado, Avi; Dicker, Tomer; Dagan, Sun; Puig, Oscar; Bloom, Kenneth; Markovits, Ettai .png)
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收藏Identification of tertiary lymphoid structures from H&E slides using deep learning analysis of nuclear morphology is associated with favorable survival in colorectal cancer patientsArbiv, Becky; Dankovich, Tal; Dagan, Sun; Shachaf, Yuval; Dicker, Tomer; Elran, Ron; Laniado, Avi; Bart, Amit; Zelichov, Ori; Markovits, Ettai 分享 收藏 A DEEP LEARNING ANALYSIS PIPELINE FOR MULTIPLEX IMAGING IDENTIFIES SPATIAL FEATURES ASSOCIATED WITH CLINICAL OUTCOME IN COLORECTAL CANCERMarkovits, Ettai; Gluskin, Roman; Dicker, Tomer; Weiss, Ido; Dagan, Sun; Elran, Ron; Bart, Amit; Kuybeda, Oleg; Arbiv, Becky; Zelichov, Ori 分享 收藏 
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