Endoscopic image classification based on explainabledeep learning

HIGHLIGHTS

• who: Doniyorjon Mukhtorov et al. from the Department of IT Convergence Engineering, Gachon University, Sujeong-Gu have published the paper: Endoscopic Image Classification Based on ExplainableDeep Learning, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: A number of approaches have reached high detection and classification accuracy by using a deep learning model, but the authors propose a new approach to classify an endoscopic image by using the Inception-Resnet-v2 , ResNet-50 , MobileNetV2 , ResNet-152 , and VGG16 models with a Grad-CAM model specific for explainable artificial_intelligence. The aim of . . .
  

   

  

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