MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan.
Muhammad UsmanAzka RehmanAbdullah ShahidSiddique LatifShi Sub ByonSung Hyun KimTariq Mahmood KhanYeong-Gil ShinPublished in: CoRR (2023)
Keyphrases
- lung nodules
- ct images
- ct scans
- computed tomography
- computer aided diagnosis
- medical images
- computerized tomography
- computer tomography
- medical imaging
- automated segmentation
- registration process
- ct data
- cross sectional
- lymph nodes
- registration accuracy
- fracture detection
- region of interest
- computer aided
- x ray
- three dimensional
- segmentation algorithm
- level set
- treatment planning
- image analysis
- rigid registration
- image segmentation
- anatomical structures
- medical diagnosis
- magnetic resonance imaging
- image reconstruction
- decision trees