Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.
Lu LiMeng WeiBo LiuKunakorn AtchaneeyasakulFugen ZhouZehao PanShimran A. KumarJason Y. ZhangYuehua PuDavid S. LiebeskindFabien ScalzoPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- ct images
- deep learning
- lesion detection
- medical images
- computer aided diagnosis
- anatomical knowledge
- medical imaging
- pet images
- computed tomography
- pet ct
- ct scans
- fracture detection
- brain images
- traumatic brain injury
- unsupervised learning
- brain structures
- vessel segmentation
- lung parenchyma
- image analysis
- medical image analysis
- region of interest
- magnetic resonance
- machine learning
- mr images
- image segmentation
- magnetic resonance images
- brain tumors
- weakly supervised
- anatomical structures
- level set
- segmentation algorithm
- x ray
- image registration
- human brain
- shape prior
- deformable models
- lesion segmentation
- ground glass opacity
- image processing
- left ventricle
- magnetic resonance imaging
- graph cuts
- super resolution
- three dimensional