LwMLA-NET: A Lightweight Multi-Level Attention-Based NETwork for Segmentation of COVID-19 Lungs Abnormalities From CT Images.
Kaushiki RoyDebapriya BanikDebotosh BhattacharjeeOndrej KrejcarChristian KollmannPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- lightweight
- ct images
- medical images
- ct scans
- computed tomography
- medical imaging
- liver segmentation
- lung nodules
- pet ct
- communication infrastructure
- fracture detection
- computer tomography
- chronic obstructive pulmonary disease
- wireless sensor networks
- automated segmentation
- medical image segmentation
- anatomical knowledge
- dos attacks
- radiation therapy
- magnetic resonance
- computer aided diagnosis
- bone segmentation
- treatment planning
- pet images
- lung parenchyma
- imaging modalities
- ct data
- magnetic resonance images
- mr images
- region of interest
- pulmonary nodules
- ground glass opacity
- brain images
- communication networks
- segmentation method
- lymph nodes
- rigid registration
- image guided
- accurate segmentation
- clinical applications
- computer vision
- x ray images
- region growing
- segmentation algorithm
- x ray
- level set
- image segmentation