During the COVID-19 pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. …

In breast cancer screening, radiologists make the diagnosis based on images that are taken from two angles. Inspired by this, we seek …

Medical images differ from natural images in significantly higher resolutions and smaller regions of interest. Because of these …

Deep learning models designed for visual classification tasks on natural images have become prevalent in medical image analysis. …

We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 …

In the previous post I explained that, after a certain point, improving efficiency of the data loaders or increasing the number of data …

Have you wondered why some of your training scripts halt every n batches where n is the number of loader processes? This likely means …

‘Processing Megapixel Images with Deep Attention-Sampling Models’ (referred as ‘ATS’ below) [1] proposes a new …

The main claims of the paper [1] A certain level of localization labels are inevitable for WSOL. In fact, prior works that claim to be …

These are some of the most frequent mistakes students made in the lab when I worked as a tutor for ICS 46, Data Structure …