METnet: A novel deep learning model predicting MET dysregulation in ...
pubmed.ncbi.nlm.nih.gov › ...
METnet realizes prediction of MET dysregulation in NSCLC, holding promise for guiding precise tumor diagnosis and treatment at the molecular level.
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. Author links open overlay panel
Feb 13, 2024 · Mesenchymal epithelial transformation (MET) is a key molecular target for diagnosis and treatment of non-small cell lung cancer (NSCLC).
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. sciencedirect.com
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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. 2024, Computers in Biology and ...
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 ...
PET/CT combines the advantages of PET and CT images, and can accurately identify the location of a lung tumor, display the subtle structural changes of the ...
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images. By Sun Y.
[PDF] Unsupervised Learning Composite Network to Reduce ...
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METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images · Yige SunJirui Guo +8 authors