A new approach for detecting fundus lesions using image processing and deep neural network architecture based on yolo model

HIGHLIGHTS

• who: Carlos Santos and colleagues from the Alegrete, Brazil Postgraduate Program in Computing (PPGC), Federal University of Pelotas, Pelotas, Brazil have published the research: A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model, in the Journal: Sensors 2022, 22, 6441. of 25/08/2022
• what: To overcome these problems this work proposes approach based on image processing techniques data augmentation transfer learning and deep neural networks to assist in the medical diagnosis of fundus lesions. The results obtained in the experiments demonstrate that this approach . . .
  

   

  

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