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Semi/Fully-Automated Segmentation of Gastric-Polyp Using Aquila-Optimization-Algorithm Enhanced Images被引量：1
《Computers, Materials & Continua》2022年第2期4087-4105,共19页Venkatesan Rajinikanth Shabnam Mohamed Aslam Seifedine Kadry Orawit Thinnukool 
Authors of this research thanks the database contributors of CVC-ClinicDB,ETIS-Larib,EndoCV2020,Kvasir for providing the open access to the dataset for research purpose and thank to Deanship of Scientific Research at Majmaah University for supporting this work under the Project No.155/46683.This research work was partially supported by Chiang Mai University.
The incident rate of the Gastrointestinal-Disease(GD)in humans is gradually rising due to a variety of reasons and the Endoscopic/Colonoscopic-Image(EI/CI)supported evaluation of the GD is an approved practice.Extract...
关键词：Endoscopic/colonoscopic-image gastric polyp aquila-optimizationalgorithm fuzzy entropy chan-vese segmentation 
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