FCTformer: Fusing Convolutional Operations and Transformer for 3D Rectal Tumor Segmentation in MR Images

FCTformer: Fusing Convolutional Operations and Transformer for 3D Rectal Tumor Segmentation in MR Images

Accurate and reliable segmentation of rectal cancer in Magnetic Resonance Imaging holds crucial significance in preoperative prediction, tumor staging, and neoadjuvant therapy. Currently, the automated segmentation methods for rectal tumor have predominantly relied on Convolutional Neural Networks (...

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Bibliographic Details
Main Authors: Zhenguo Sang, Chengkang Li, Ye Xu, Yuanyuan Wang, Hongtu Zheng, Yi Guo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Rectal tumor segmentation
T2W-MRI
swin transformer
attention
3D CNN
Online Access:https://ieeexplore.ieee.org/document/10379814/

Internet

https://ieeexplore.ieee.org/document/10379814/

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