Enhanced accuracy for classification of video capsule endoscopy images using multiple deep learning convolutional neural networks

Post written by David R. Cave, MD, PhD, from Brigham and Women’s Hospital, Boston, Massachusetts, USA. Video capsule endoscopy was first introduced in 2001. A major inhibitor to its widespread use has been that reading the output video takes significant time. The advent of artificial intelligence (AI) provides an opportunity to help the reader decrease time …

Continue reading Enhanced accuracy for classification of video capsule endoscopy images using multiple deep learning convolutional neural networks

Capsule endoscopy localization

Neil B. Marya, MD from the University of Massachusetts Medical School in Worcester, Massachusetts discusses his article "Computerized 3-dimensional localization of a video capsule in the abdominal cavity: validation by digital radiography." The main purpose of this study was to test a new radiofrequency capsule localization system in healthy human volunteers. In the absence of …

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