Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01228-7
Abstract: We propose a technique for producing ‘visual explanations’ for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them more transparent and explainable. Our approach—Gradient-weighted Class Activation Mapping (Grad-CAM), uses the gradients… read more here.
Keywords: cam; image; visual explanations; grad cam ... See more keywords
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2022.1046296
Abstract: The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a result, it has disastrous consequences for people's lives, public health, and the global economy. Clinical studies have revealed a link… read more here.
Keywords: bayesian optimization; classification; ray images; covid ... See more keywords