A Novel Multi-Scale Channel Attention-Guided Neural Network for Brain Stroke Lesion Segmentation-Reference-Cited by-同舟云学术

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A Novel Multi-Scale Channel Attention-Guided Neural Network for Brain Stroke Lesion Segmentation

Published:2023 Issue: Volume:11 Page:66050-66062
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Zhihua¹^ORCID,Xing Qiwei²^ORCID,Li Yanfang¹,He Wei¹,Miao Yu¹,Ji Bai³,Shi Weili¹,Jiang Zhengang¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China

2. Institute for Educational Big Data and Artificial Intelligence, Qiongtai Normal University, Haikou, China

3. The First Hospital of Jilin University, Changchun, China

Funder

Hainan Province Natural Science Foundation for Youths

Jilin Provincial Science and Technology Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10168904.pdf?arnumber=10168904

Reference56 articles.

1. Comparative analysis of pulmonary nodules segmentation using multiscale residual U-Net and fuzzy C-means clustering

2. Embedded stacked group sparse autoencoder ensemble with L1 regularization and manifold reduction

3. Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment

4. Application of Deep Learning Method on Ischemic Stroke Lesion Segmentation

5. Brain tumor grade identification using deep Elman neural network with adaptive fuzzy clustering-based segmentation approach

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