Publication
MST-Net: a multi-scale spatial transformation network for automated T2/T3 staging of rectal cancer on preoperative T2-weighted MRI.
Wei Liu, Ling Yin, Xiong Ran, Tian-Xiang Xu, Yun Du, Jiang-Yi He, Shao-Quan Zhou, Jian-Jun Li
Insights into imagingSep 4, 2026PMID 42698053doi:10.1186/s13244-026-02377-3 PMC13545167Journal ArticlepubmedProvenance
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- PubMed
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- Sep 16, 2026
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- ING-PUBMED-20260916-000001
Abstract
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OBJECTIVE: This study aimed to develop a deep learning model (MST-Net) for the segmentation-free automated and precise differentiation between T2 and T3 staging of rectal cancer based on preoperative T2-weighted magnetic resonance imaging (T2WI). MATERIALS AND METHODS: Preoperative T2WI images and…
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- cancerMalignant Rectal Neoplasmdictionary0.60
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