JOURNAL ARTICLE

TA-Net: Triple attention network for medical image segmentation

Yang LiJun YangJiajia NiAhmed ElazabJianhuang Wu

Year: 2021 Journal:   Computers in Biology and Medicine Vol: 137 Pages: 104836-104836   Publisher: Elsevier BV
Keywords:
Computer science Artificial intelligence Segmentation Robustness (evolution) Convolutional neural network Encoder Pixel Feature (linguistics) Pattern recognition (psychology) Redundancy (engineering) Block (permutation group theory) Computer vision Mathematics

Metrics

55
Cited By
6.96
FWCI (Field Weighted Citation Impact)
68
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Retinal Imaging and Analysis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Digital Imaging for Blood Diseases
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
AI in cancer detection
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Eff-TA-Net: A Lightweight Model with Triple Attention for Medical Image Segmentation

Xiaowen JiangXin Wang

Journal:   International Journal of Applied Science Year: 2025 Vol: 8 (4)Pages: p98-p98
JOURNAL ARTICLE

TANet: Triple Attention Network for medical image segmentation

Xin WeiFanghua YeHuan WanJianfeng XuWeidong Min

Journal:   Biomedical Signal Processing and Control Year: 2023 Vol: 82 Pages: 104608-104608
JOURNAL ARTICLE

SA-Net: A scale-attention network for medical image segmentation

Jingfei HuHua WangJie WangYunqi WangFang HeJicong Zhang

Journal:   PLoS ONE Year: 2021 Vol: 16 (4)Pages: e0247388-e0247388
JOURNAL ARTICLE

MFA-Net: Multiscale Feature Attention Network for Medical Image Segmentation

Jia ZhaoHan TaoSong LiuM. LiHuilong Jin

Journal:   Electronics Year: 2026 Vol: 15 (2)Pages: 330-330
© 2026 ScienceGate Book Chapters — All rights reserved.