NaviCam® SB with ESView
All small bowel capsule systems are not created equal. Using novel aspherical lens technology, which minimizes distortion, the NaviCam® SB has an image resolution of 640*480 (CMOS Imager), Variable Frame Rate of 0.5 – 15 FPS and an extended battery life over 16 hours (1fps). But what makes the NaviCam® SB System different is ProScan™ Intelligent Reading Support and is the driving reason why AnX Robotica is not just another capsule company.
ProScan™ incorporates Deep Neural Networks (DNN), such as a Convolutional Neural Network (CNN), a deep learning algorithm that can differentiate one image from another. This deep learning model enables ProScan™ to differentiate normal mucosa from abnormal lesions, which assists the user with the study review as well as significantly improving efficiency.
The ProScan feature is not intended to detect pathology in lieu of a physician and should not be used as a substitute for reviewing the entire video.
In a landmark study published in Gastroenterology titled, Gastroenterology-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep Learning Model1, ProScan™ was trained to differentiate abnormal from normal images using over 150 thousand images collected from 1,970 patients. This deep learning model based on CNN identified abnormalities with a sensitivity of 99.88% in per-patient analysis and 99.90% in per lesion analysis, when compared to conventional analysis.
Representative capsule endoscopy images of small bowel abnormalities, including original endoscopic images and CNN-processed images
Specifications
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