A convolutional attention mapping deep neural network for classification and localization of cardiomegaly on chest x-rays

HIGHLIGHTS

• who: Mohammed Innat from the DepartmentKhulna University have published the article: A convolutional attention mapping deep neural network for classification and localization of cardiomegaly on chest X-rays, in the Journal: Scientific Reports Scientific Reports
• what: After developing the model, the test dataset is used to assess the model. Since GAP contains all values, the authors examine the operation of GAP and add a learnable weighting term to develop the AMM. The authors demonstrate that such pixel-level attention algorithm trained only on image-level labels can efficiently highlight the areas of salience to demonstrate . . .
  

   

  

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