One-class machine learning classification of skin tissue based on manually scanned optical coherence tomography imaging

HIGHLIGHTS

• who: Xuan Liu from the Department have published the research work: One-class machine learning classification of skin tissue based on manually scanned optical coherence tomography imaging, in the Journal: Scientific Reports Scientific Reports
• what: The overall aim of this study is to perform in_vivo skin characterization through manually scanned OCT imaging and machine_learning algorithms for automatic tissue classification.
• how: The results showed that the one-class classifier allowed accurate detection of abnormal skin tissue for synthesized OCT data of BCC SCC and disrupted DEJ and OCT data from nail plate. A non . . .
  

   

  

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