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PREDICTING RESPONSE TO IMMUNE CHECKPOINT INHIBITORS (ICI) IN NON-SMALL-CELL LUNG CANCER (NSCLC) BY COMBINING SPATIAL ANALYSIS OF CELLS AND RNA SEQUENCING DATA FROM BIOPSIES USING DEEP LEARNING (DL)Markovits, Ettai; Soong, David; Arbiv, Becky; Groisman, Alon; Lipinsky, Maya; Yedidia, Yoni; Cohen, Yoad; Gabay, Yuval; Shachaf, Yuval; Oren, Eyal; Gluskin, Roman; Weiss, Ido; Hamadeh, Hisham; Sasser, Kate; Golan, Gali; Higgs, Brandon; Couto, Suzana; Zelichov, Ori 分享 收藏 PREDICTING CD8+CELL DENSITY AND TUMOR-IMMUNE PHENOTYPES IN NON-SMALL-CELL LUNG CANCER (NSCLC) FROM STANDARD H&E SLIDES USING DEEP LEARNING (DL)Soong, David; Arbiv, Becky; Markovits, Ettai; Groisman, Alon; Shachaf, Yuval; Dicker, Tomer; Yedidia, Yoni; Hamadeh, Hisham; Sasser, Kate; Golan, Gali; Higgs, Brandon; Couto, Suzana; Zelichov, Ori 分享 收藏 
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