SASAN: Spectrum-Axial Spatial Approach Networks for Medical Image Segmentation-Reference-Cited by-同舟云学术

SASAN: Spectrum-Axial Spatial Approach Networks for Medical Image Segmentation

Published:2024-08 Issue:8 Volume:43 Page:3044-3056
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Huang Xingru¹^ORCID,Huang Jian¹^ORCID,Zhao Kai²,Zhang Tianyun¹^ORCID,Li Zhi¹^ORCID,Yue Changpeng¹^ORCID,Chen Wenhao¹^ORCID,Wang Ruihao¹^ORCID,Chen Xuanbin¹^ORCID,Zhang Qianni³^ORCID,Fu Ying⁴^ORCID,Wang Yangyundou⁵,Guo Yihao¹^ORCID

Affiliation:

1. Hangzhou Dianzi University, Hangzhou, China

2. Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing, China

3. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.

4. School of Computer Science and Technology and the MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China

5. Hangzhou Institute of Technology, Xidian University, Hangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10619995/10486971.pdf?arnumber=10486971

Reference41 articles.

1. The multifunctional choroid

2. Convolutional Neural Networks for Sentence Classification

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

4. Design and Implementation of Frequency Domain Feature Extraction Module for Human Motion Recognition

5. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

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