English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Wireless capsule endoscopes (WCEs) have been used widely to detect abnormalities inside regions of the small intestine that are not accessible when using traditional endoscopy techniques. However, an experienced clinician must spend an average of 2 hours to view and analyze the approximately 60,000 images produced during one examination. Therefore, developing a computeraided system for processing WCE images is crucial. This paper proposes a novel method used for detecting bleeding and ulcers in WCE images. This approach involves using color features to determine the status of the small intestine. The experimental results revealed that the proposed scheme is promising in detecting bleeding and ulcer regions.

Bleeding and Ulcer Detection Using Wireless Capsule Endoscopy Images