Identification of high-risk population of pneumoconiosis using deep learning segmentation of lung 3D images and radiomics texture analysis.
Yafeng LiuJing WuJiawei ZhouJianqiang GuoChao LiangYingru XingZhongyu WangLijuan ChenYan DingDingfei RenYing BaiDong HuPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- texture analysis
- high risk
- deep learning
- image analysis
- brodatz textures
- texture classification
- multiresolution
- image segmentation
- texture features
- gray level
- gabor filters
- risk factors
- unsupervised learning
- segmentation algorithm
- machine learning
- level set
- multiscale
- co occurrence
- segmentation method
- medical images
- prostate cancer
- pattern recognition
- energy function
- object segmentation
- computer vision
- decision making
- weakly supervised
- mental models
- image registration
- statistical methods
- active contours