High pooled performance of convolutional neural networks in computer-aided diagnosis of GI ulcers and/or hemorrhage on wireless capsule endoscopy images

Post written by Babu P. Mohan, MD, from the Gastroenterology & Hepatology, University of Utah, Salt Lake City, Utah, USA. The study aimed to analyze the pooled rates of diagnostic accuracy parameters of computer-aided diagnosis (CAD) by convolutional neural networks (CNN)-based machine learning of wireless capsule endoscopy (WCE) images. Recent studies have reported on the …

Continue reading High pooled performance of convolutional neural networks in computer-aided diagnosis of GI ulcers and/or hemorrhage on wireless capsule endoscopy images