Image Domain Transfer by Deep Learning is Feasible in Multiple Sclerosis Clinical Practice.
Sign Up to like & getrecommendations! Published in 2020 at "Investigative Radiology"
DOI: 10.1097/rli.0000000000000665
Abstract: M ultiple sclerosis (MS) is a chronic demyelinating disorder of the central nervous system that mainly affects young adults. The estimated prevalence of MS in North America in 2016 was more than 120 cases per… read more here.
Keywords: radiology; image domain; image; domain transfer ... See more keywords
Unpaired Domain Transfer for Data Augment in Face Recognition
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2976207
Abstract: Face recognition is one of the hottest issues in the field of computer vision and pattern recognition. Deep learning-based recognition models already have more exceptional recognition ability than the human being on open datasets, but… read more here.
Keywords: transfer data; data augment; domain transfer; domain ... See more keywords
Automatic Microsurgical Skill Assessment Based on Cross-Domain Transfer Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2989075
Abstract: The assessment of microsurgical skills for Robot-Assisted Microsurgery (RAMS) still relies primarily on subjective observations and expert opinions. A general and automated evaluation method is desirable. Deep neural networks can be used for skill assessment… read more here.
Keywords: cross domain; skill assessment; transfer learning; microsurgical skill ... See more keywords
Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning
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DOI: 10.3390/cancers15030892
Abstract: Simple Summary This retrospective study aimed to find suitable source domain data in cross-domain transfer learning to extract robust image features and build a model to preoperatively distinguish LGN from LAC in SPSNs. The experiment… read more here.
Keywords: domain transfer; cross domain; transfer learning; domain ... See more keywords