LMA-Net: Lightweight Multiple Attention Network for Multi-Source Heterogeneous Pulmonary CXR Segmentation-Reference-Cited by-同舟云学术

LMA-Net: Lightweight Multiple Attention Network for Multi-Source Heterogeneous Pulmonary CXR Segmentation

Published:2024 Issue: Volume:12 Page:72912-72923
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mamut Turghunjan¹,Meng Lun²^ORCID,Pei Ziyi³^ORCID,Weng Tengfei²^ORCID,Han Qi²^ORCID,Wu Kepeng²^ORCID,Qian Xin²^ORCID,Xu Hongxiang²^ORCID,Qiu Zicheng²,Tian Yuan²,Pei Yangjun²

Affiliation:

1. College of Information Engineering, Tarim University, Alar, Xinjiang, China

2. College of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China

3. College of Materials Science and Engineering, Chongqing University of Arts and Sciences, Chongqing, China

Funder

West Light Foundation of Chinese Academy of Science

Research Foundation of the Natural Foundation of Chongqing City

Scientific and Technological Research Program of Chongqing Municipal Education Commission

Chongqing Science and Technology Military-Civilian Integration Innovation Project, in 2022

Bingtuan Science and Technology Program in China

Shanxi Province Applied Basic Research Program, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10530116.pdf?arnumber=10530116

Reference32 articles.

1. Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks

2. Automatic lung segmentation in chest X-ray images using improved U-Net

3. Imaging in tuberculosis

4. A review on lung boundary detection in chest X-rays

5. The role of artificial intelligence in healthcare: a structured literature review