LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on a Receptive-Field-Aware Deep Learning Framework
COVID-19 is a fast-growing disease all over the world, but facilities in the hospitals are restricted. Due to unavailability of an appropriate vaccine or medicine, early identification of patients suspected to have COVID-19 plays an important role in limiting the extent of disease. Lung computed tom...
Main Authors: | Vivek Kumar Singh, Mohamed Abdel-Nasser, Nidhi Pandey, Domenec Puig |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/11/2/158 |
Similar Items
-
Semi-Automatic Image Segmentation for Volumetric Visualization of Pelvis CT Scan-Images
by: Suprijanto Suprijanto, et al.
Published: (2010-10-01) -
Segmentation of lung tissue in CT images with disease and pathology
by: Hua, Panfang
Published: (2010) -
Lung tumor segmentation using improved region growing algorithm
by: Jamshid Soltani-Nabipour, et al.
Published: (2020-10-01) -
Whole brain CT perfusion on a 320-slice CT scanner
by: Jai Jai Shiva Shankar, et al.
Published: (2011-07-01) -
Fully Automated Segmentation of Lung Parenchyma Using Break and Repair Strategy
by: Kumar S. Pramod, et al.
Published: (2019-04-01)