Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images.
Xiangrong ZhouKazuma YamadaTakuya KojimaRyosuke TakayamaSong WangXinxin ZhouTakeshi HaraHiroshi FujitaPublished in: Medical Imaging: Computer-Aided Diagnosis (2018)
Keyphrases
- automatic segmentation
- ct images
- deep learning
- medical images
- medical imaging
- ct data
- computed tomography
- manual segmentation
- segmentation algorithm
- computer tomography
- region of interest
- lymph nodes
- ct scans
- soft tissue
- pulmonary nodules
- unsupervised learning
- image analysis
- magnetic resonance images
- x ray
- accurate segmentation
- pattern recognition
- ct imaging
- data mining
- medical image segmentation
- weakly supervised
- mental models
- computer aided
- object detection
- computer vision