MHL-Net: A Multistage Hierarchical Learning Network for Head and Neck Multiorgan Segmentation
Author:
Affiliation:
1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10210140/10123919.pdf?arnumber=10123919
Reference42 articles.
1. Multi-organ auto-delineation in head-and-neck MRI for radiation therapy using regional convolutional neural network
2. Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index
3. Prior Attention Enhanced Convolutional Neural Network Based Automatic Segmentation of Organs at Risk for Head and Neck Cancer Radiotherapy
4. Boundary-aware context neural network for medical image segmentation
5. A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging
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