Shape-Scale Co-Awareness Network for 3D Brain Tumor Segmentation-Reference-Cited by-同舟云学术

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Shape-Scale Co-Awareness Network for 3D Brain Tumor Segmentation

Published:2024-07 Issue:7 Volume:43 Page:2495-2508
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zhou Lifang¹^ORCID,Jiang Yu²^ORCID,Li Weisheng²^ORCID,Hu Jun²^ORCID,Zheng Shenhai³^ORCID

Affiliation:

1. Key Laboratory of Image Cognition and College of Software, Chongqing University of Posts and Telecommunications, Chongqing, China

2. Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China

3. Department of Neurology, Southwest Hospital, Third Military Medical University, Chongqing, China

Funder

National Natural Science Foundation of China

Science and Technology Research Program of Chongqing Municipal Education Commission

Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10579886/10443659.pdf?arnumber=10443659

Reference70 articles.

1. Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices

2. A Deep Transfer Learning Based Architecture for Brain Tumor Classification Using MR Images

3. Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM

4. Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm

5. U-Net: Convolutional Networks for Biomedical Image Segmentation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Brain tumour detection using machine and deep learning: a systematic review;Multimedia Tools and Applications;2024-05-23

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