HIGHLIGHTS
- who: Endoscopy-Based Deep et al. from the Care, China University of California, San Francisco have published the research work: Endoscopy-Based Deep Convolutional Neural Network Predicts Response to Neoadjuvant Treatment for Locally Advanced Rectal Cancer, in the Journal: (JOURNAL)
- what: This model has the potential to serve as a robust supplementary tool to radiographic examinations for precisely selecting surgery candidates for LARC patients after NT. This study on the DCNN model aimed to accurately identify candidates for surgery and reduce the unsuitable application of watchful waiting. When developing this model, the authors focused on . . .
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