Automated segmentation of 3D anatomical structures on CT images by using a deep convolutional network based on end-to-end learning approach.
Xiangrong ZhouRyosuke TakayamaSong WangXinxin ZhouTakeshi HaraHiroshi FujitaPublished in: Medical Imaging: Image Processing (2017)
Keyphrases
- end to end
- ct images
- medical images
- anatomical structures
- ct scans
- automated segmentation
- medical imaging
- manual segmentation
- computed tomography
- clinical applications
- segmentation method
- human experts
- imaging modalities
- fully automated
- magnetic resonance
- computer vision
- region of interest
- shape model
- markov random field
- image sequences