Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Sharib AliMariia DmitrievaNoha M. GhatwarySophia BanoGorkem PolatAlptekin TemizelAdrian KrenzerAmar HekaloYun Bo GuoBogdan J. MatuszewskiMourad GridachIrina VoiculescuVishnusai YoganandArnav ChavanAryan RajNhan T. NguyenDat Q. TranLê Duy HuynhNicolas BoutryShahadate RezvyHaijian ChenYoon Ho ChoiAnand SubramanianVelmurugan BalasubramanianXiaohong W. GaoHongyu HuYusheng LiaoDanail StoyanovChristian DaulStefano RealdonRenato CannizzaroDominique LamarqueTerry Tran-NguyenAdam BaileyBarbara BradenJames E. EastJens RittscherPublished in: Medical Image Anal. (2021)
Keyphrases
- deep learning
- unsupervised learning
- image segmentation
- segmentation algorithm
- level set
- unsupervised feature learning
- multiscale
- object detection
- segmentation method
- machine learning
- mental models
- medical images
- shape prior
- object segmentation
- weakly supervised
- active learning
- energy function
- test images
- deep architectures