MSR-Net: Multi-Scale Residual Network Based on Attention Mechanism for Pituitary Adenoma MRI Image Segmentation
Author:
Affiliation:
1. Department of Rehabilitation, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, China
2. College of Mechanical Engineering, Quzhou University, Quzhou, China
Funder
National Natural Science Foundation of China
Basic Public Welfare Research Program of Zhejiang Province
Science and Technology Major Projects of Quzhou
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10648603.pdf?arnumber=10648603
Reference39 articles.
1. Deep-learning-based automatic facial bone segmentation using a two-dimensional U-Net
2. LVSegNet: A novel deep learning-based framework for left ventricle automatic segmentation using magnetic resonance imaging
3. Graph Flow: Cross-Layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation
4. ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation
5. Fully Convolutional Networks for Semantic Segmentation
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