Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.
Yunzhi WangYuchen QiuTheresa C. ThaiKathleen N. MooreHong LiuBin ZhengPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- ct images
- deep learning
- medical images
- computed tomography
- ct scans
- magnetic resonance images
- unsupervised learning
- medical imaging
- computer aided
- pulmonary nodules
- adipose tissue
- lung nodules
- machine learning
- mental models
- region of interest
- computer aided diagnosis
- mr images
- image analysis
- manual segmentation
- computer aided design
- automatically segmenting
- magnetic resonance imaging
- x ray
- weakly supervised
- feature selection
- computer vision
- fracture detection