Not logged in Weakly-supervised prediction of tumor infiltrating lymphocytes per high power field from colorectal cancer histopathology slides using regression transformers El Nahhas, Omar S.; Bonner, Joseph D.; Greenson, Joel K.; Schmolze, Daniel B.; Shaktah, Lawrence; Salazar, Jonathan; Reynaga, Lorena; Lindsey, Sidney; Lu, Jenny; Moreno, Victor; Schmit, Stephanie L.; Tsai, Ya-Yu; Hamilton, Stanley R.; Rennert, Gad; Kather, Jakob N.; Gruber, Stephen B. Share Save
Artificial intelligence measures of tumor infiltrating lymphocytes predict colorectal cancer-specific and overall survival Gruber, Stephen B.; El Nahhas, Omar S.; Bonner, Joseph D.; Greenson, Joel K.; Schmolze, Daniel; Shaktah, Lawrence; Salazar, Jonathan; Reynaga, Lorena; Lindsey, Sidney; Lu, Jenny; Mao, Allen; Moreno, Victor; Schmit, Stephani L.; Tsai, Ya-Yu; Hamilton, Stanley R.; Rennert, Gad; Kather, Jakob N. Share Save
Share Save
Share Save
Share Save
Microenvironmental Independence Associated with Tumor Progression Anderson, Alexander R. A.; Hassanein, Mohamed; Branch, Kevin M.; Lu, Jenny; Lobdell, Nichole A.; Maier, Julie; Basanta, David; Weidow, Brandy; Narasanna, Archana; Arteaga, Carlos L.; Reynolds, Albert B.; Quaranta, Vito; Estrada, Lourdes; Weaver, Alissa M. Share Save
Share Save
.png){kind=icon}
.png){kind=icon}
Not logged in.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
