METnet: A novel deep learning model predicting MET dysregulation in ...
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METnet realizes prediction of MET dysregulation in NSCLC, holding promise for guiding precise tumor diagnosis and treatment at the molecular level.
Mesenchymal epithelial transformation (MET) is a key molecular target for diagnosis and treatment of non-small cell lung cancer (NSCLC).
Feb 13, 2024 · Mesenchymal epithelial transformation (MET) is a key molecular target for diagnosis and treatment of non-small cell lung cancer (NSCLC).
May 28, 2024 · METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. Comput. Biol ...
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. Sun Y; Guo J; Liu Y; Wang N ...
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. Yige Sun, Jirui Guo, Yang Liu ...
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. Computers in Biology and Medicine.
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METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. Article. Feb 2024. Yige ...
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images · Yige SunJirui Guo +8 authors
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. Comput. Biol. Medicine 171 ...