Browsing by Subject "neural networks"
Now showing items 1-2 of 2
-
Benchmarking saliency methods for chest X-ray interpretation
(2022-10)Saliency methods, which produce heat maps that highlight the areas of the medical image that influence model prediction, are often presented to clinicians as an aid in diagnostic decision-making. However, rigorous investigation ... -
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
(2022-11)The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that ...