Deep learning for polyp recognition in wireless capsule endoscopy images
نویسندگان
چکیده
منابع مشابه
Hookworm Detection Using Wireless Capsule Endoscopy Images
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Wireless capsule endoscopy (WCE) has revolutionized the diagnosis and treatment of gastrointestinal tract, especially the small intestine where traditional endoscopies can not reach. However, this new technology leads to the inspection of a large number of images, which is a time consuming process and also too hard by naked eyes for doctors. In this article we propose a new computerized method ...
متن کاملWireless Capsule Endoscopy
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متن کاملWireless capsule endoscopy.
Over the last decade, WCE has established itself as a valuable test for imaging the small intestine. It is a safe and relatively easy procedure to perform that can provide valuable information in the diagnosis of small-bowel conditions. Its applications still remain limited within the esophagus and colon. Future developments may include improving visualization within the esophagus and developin...
متن کاملSegmentation of Bleeding Regions in Wireless Capsule Endoscopy Images an Approach for inside Capsule Video Summarization
Wireless capsule endoscopy (WCE) is an effective means of diagnosis of gastrointestinal disorders. Detection of informative scenes by WCE could reduce the length of transmitted videos and can help with the diagnosis. In this paper we propose a simple and efficient method for segmentation of the bleeding regions in WCE captured images. Suitable color channels are selected and classified by a mul...
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ژورنال
عنوان ژورنال: Medical Physics
سال: 2017
ISSN: 0094-2405
DOI: 10.1002/mp.12147