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07-10-2016, 02:59 AM
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Automatic Computer Vision System Detects Early Esophageal Cancer
 At the Eidhoven University of Tech**logy (TU Eindhoven) in The Netherlands, a research team has developed a Computer Vision System that has shown excellent results at identifying*early neoplastic lesions, which develop into full blown Esophageal cancer, in patients with Barrett’s esophagus. Such lesions are very difficult to spot, and **t many physicians have the training or the eye necessary to do so accurately and consistently. The collaboration involved a gastroenterologist from*Catharina Hospital and Computer scientists from the*Video Coding and Architectures Research Group at TU Eindhoven. Their algorithm analyzes endoscopy images of Barrett’s esophagus, recognizing slight differences in the*texture and color of the tissue observed. This is compared to data gathered from previously analyzed images of Barrett’s patients with and without neoplastic lesions. The Computer learning algorithm has got acquainted over time to **ticing the minute fluctuations in the image and in their study, comparing it to four international experts in the field, achieved a nearly perfect score. From the abstract in journal Endoscopy: The System identified Early neoplastic lesions on a per-image analysis with a sensitivity and specificity of 0.83. At the patient level, the System achieved a sensitivity and specificity of 0.86 and 0.87, respectively. A trade-off between the two performance metrics could be made by varying the percentage of training samples that showed neoplastic tissue.Study in journal*Endoscopy: Computer-aided detection of early neoplastic lesions in Barrett’s esophagus… Via:*TU Eindhoven… This post Automatic Computer Vision System Detects Early Esophageal Cancer appeared first on Medgadget. ??????? ??????: Automatic Computer Vision System Detects Early Esophageal Cancer || ??????: rss || ??????: اسم منتداك
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