Abstract Saliency methods, which produce heat maps that highlight the areas of medical image influence model prediction, are often presented to clinicians as an aid in diagnostic decision-making. However, rigorous investigation accuracy and reliability these strategies is necessary before they integrated into clinical setting. In this work, we quantitatively evaluate seven saliency including Gr...

The COVID-19 pandemic has caused large-scale outbreaks in more than 150 countries worldwide, causing massive damage to the livelihood of many people. capacity identify contaminated patients early and get unique treatment is quite possibly primary stride battle against COVID-19. One quickest ways diagnose use radiography radiology images detect disease. Early studies have shown that chest X-rays...

<span lang="EN-US">One reliable way of detecting coronavirus disease 2019 (COVID-19) is using a chest x-ray image due to its complications in the lung parenchyma. This paper proposes solution for COVID-19 detection images based on convolutional neural network (CNN). CNN-based developed modified InceptionV3 as backbone architecture. Self-attention layers are inserted modify such that numbe...