Automatic Liver Lesion Segmentation in CT Combining Fully Convolutional Networks and Non-negative Matrix Factorization.
Shenhai ZhengBin FangLaquan LiMingqi GaoYi WangKaiyi PengPublished in: BIVPCS/POCUS@MICCAI (2017)
Keyphrases
- negative matrix factorization
- lesion segmentation
- ct images
- magnetic resonance imaging
- matrix factorization
- multiple sclerosis
- ct scans
- medical images
- sparse representation
- document clustering
- magnetic resonance images
- computed tomography
- principal component analysis
- sparse coding
- multi channel
- medical imaging
- spectral clustering
- x ray
- co occurrence
- fully automatic
- mr images
- high dimensional data
- clinical trials
- image processing
- data mining
- image classification