Research on intelligent prediction of T-stage of rectal cancer based on multi-instance learning

Author:

Wei Yu,Liu Qiming,Wan YiYing,Wang Ying,Li Guozhi,Zhang Ge

Publisher

SPIE

Reference18 articles.

1. PIP5KL1: A novel diagnostic and prognostic marker for colorectal cancer: A novel diagnostic and prognostic marker;Wu;CME,2022

2. Study of weakly supervised learning: 3D DenseNet and 3D APN for rectal cancer T-staging;Chen;CCIS,2022

3. Computer network connection enhancement optimization algorithm based on convolutional neural network;Li;NetCIT,2021

4. Establishment and clinical application value of an automatic diagnosis platform for rectal cancer T-staging based on a deep neural network

5. Structured Reporting of Rectal Cancer Staging and Restaging: A Consensus Proposal

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