This study investigates the application of deep learning algorithms to automate pneumonia detection from pediatric chest X-ray images. Researchers compared custom convolutional neural networks ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

The group, which includes deep learning researcher Andrew Ng, developed the algorithm using more than 112,000 chest x-rays released by the National Institutes of Health in September.

The paper published on arXiv.org, titled “CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning,” describes a machine learning algorithm that takes advantage of ...

We address this problem by using deep learning object detection techniques called segmentation. The architecture chosen here is UNET with resnet34 as a backbone. A pre-trained model is available ...

Early detection of pneumonia could help prevent some of the 50,000 deaths the ... Another deep-learning algorithm recently published in Nature was able to spot cancerous skin lesions just ...