An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism

14 April 2020

Papers citing "An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism"

6 / 6 papers shown

Title
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images Runmin Cong Hao Yang Qiuping Jiang Wei Gao Haisheng Li C. Wang Yao-Min Zhao Sam Kwong 27 35 0 17 Jul 2022
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data Parham Yazdekhasty Ali Zindari Zahra Nabizadeh-ShahreBabak P. Khadivi N. Karimi S. Samavi 17 2 0 19 Aug 2021
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation Yichi Zhang Qingcheng Liao Lin Yuan He Zhu Jiezhen Xing Jicong Zhang 52 23 0 31 Dec 2020
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review Shahabedin Nabavi Azar Ejmalian M. Moghaddam A. A. Abin Alejandro F. Frangi M. Mohammadi H. S. Rad 16 34 0 01 Oct 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 24 11 0 09 Jun 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue D. Shen Yuxin Shi 111 574 0 10 Mar 2020