Accurate real-time polyp detection in videos from concatenation of latent features extracted from consecutive frames

HIGHLIGHTS

• who: Hemin Ali Qadir and colleagues from the Intervention Centre, Oslo University Hospital, Oslo, Norway have published the paper: Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames, in the Journal: (JOURNAL) of 94,/07/2017
• what: The authors attempt to tackle this problem by integrating temporal information among neighboring frames. The authors propose an efficient feature concatenation method for a CNN-based encoder-decoder model without adding complexity to the model. The authors provide a detailed description of the proposed method to make a CNN-based encoder . . .
  

   

  

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