Unsupervised and quantitative intestinal ischemia detection using conditional adversarial network in multimodal optical imaging

HIGHLIGHTS

• who: Unsupervised and colleagues from the Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, District of Columbia, United States have published the Article: Unsupervised and quantitative intestinal ischemia detection using conditional adversarial network in multimodal optical imaging, in the Journal: (JOURNAL) of 04/Dec/2022
• what: To evaluate the performance of the model , four animal studies were conducted on swine (protocol #30591 at the Children`s National Hospital). Inspired by this study, the authors modified their model to fit the dataset , as shown in Fig 4. This does not affect the similarity measurement . . .
  

   

  

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