Polyp detection in video colonoscopy using deep learning

Autor:	Mihaela Luca, Adrian Ciobanu
Rok vydání:	2022
Předmět:	Statistics and Probability Artificial Intelligence education otorhinolaryngologic diseases General Engineering digestive system diseases
Zdroj:	Journal of Intelligent & Fuzzy Systems. 43:1751-1759
ISSN:	1875-8967 1064-1246
Popis:	Video colonoscopy automatic processing is a challenge and further development of computer assisted diagnosis is very helpful in correctness assessment of the exam, in e-learning and training, for statistics on polyps’ malignity or in polyps’ survey. New devices and programming languages are emerging and deep learning begun already to furnish astonishing results, in the quest for high speed and optimal polyp detection software. This paper presents a successful attempt in detecting the intestinal polyps in real time video colonoscopy with deep learning, using Mobile Net.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b8bc967baf1ea6d383aa29ad0ada8b2b https://doi.org/10.3233/jifs-219276 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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