Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation
Author:
Affiliation:
1. Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China
2. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
Funder
National Natural Science Fund for Distinguished Young Scholar
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7433297/9900106/09711563.pdf?arnumber=9711563
Reference55 articles.
1. Automatic MRI meningioma segmentation using estimation maximization;tsai;Proc IEEE Eng Med Biol 27th Annu Conf,0
2. A fuzzy clustering based segmentation system as support to diagnosis in medical imaging
3. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
4. Asymmetric Non-Local Neural Networks for Semantic Segmentation
5. CCNet: Criss-Cross Attention for Semantic Segmentation
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