In this article, a dual lesion attention network (DLA-Net) is proposed for the accurate and early detection of pneumoconiosis using chest X-rays. The network…
Browsing: Chest X-rays
This article discusses the external validation of an AI algorithm for interpreting chest X-rays in real clinical practice. The algorithm was compared to a…
This article discusses the use of artificial intelligence and deep learning for pneumonia detection in chest X-rays. It introduces an anchor-free object detection framework…
A team in India reported that artificial intelligence (AI) could diagnose COVID-19 from chest X-rays, however a closer look by computer scientists Sanchari Dhar…
Dongkyun Kim, a junior artificial intelligence major from Carnegie Mellon University’s School of Computer Science, designed the winning deep-learning model in a recent competition…
Dongkyun Kim, a junior artificial intelligence major from Carnegie Mellon University’s School of Computer Science, designed the winning deep learning model in a recent…
This article presents a convolutional attention mapping deep learning model, Cardio-XAttentionNet, to classify and localize cardiomegaly effectively. The model is trained on ChestX-Ray14, a…