Deep learning progressive distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients

Deep learning progressive distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients

Abstract Background and objective: Identifying patients suitable for conversion therapy through early non-invasive screening is crucial for tailoring treatment in advanced gastric cancer (AGC). This study aimed to develop and validate a deep learning method, utilizing preoperative computed tomograph...

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Bibliographic Details
Main Authors: Saiyi Han, Tong Zhang, Wenzhuo Deng, Shaoliang Han, Honghao Wu, Beier Jiang, Weidong Xie, Yide Chen, Tao Deng, Xuewen Wen, Nianbo Liu, Jianping Fan
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Advanced gastric
Cancer conversion
Therapy deep
Learning
Preoperative
Progressive distill
Online Access:https://doi.org/10.1038/s41598-025-01063-6
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https://doi.org/10.1038/s41598-025-01063-6

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