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[Pancreas segmentation with multi-channel convolution and combined deep supervision].

Yue Yang¹, Yongxiong Wang¹, Chendong Qin¹

¹School of Opto-Electronic Information & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi

|February 25, 2025

Summary

This study introduces a novel hybrid CNN-Transformer model for improved pancreas segmentation, achieving state-of-the-art results on public datasets. The method enhances diagnostic accuracy for physicians.

Area of Science:

Medical Image Analysis
Artificial Intelligence in Medicine
Computer Vision

Keywords:

Contrastive loss Deep supervision Ensemble decoder Multi-channel convolution Pancreas segmentation

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