Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism

Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism

Conclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages.

Saved in:
Bibliographic Details
Main Authors: Yu Xiao, Xin Yang, Sijuan Huang, Lihua Guo
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/ijbi/7560099
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Conclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages.
ISSN:1687-4196

Similar Items