Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images

Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging task. Typically, these images suffer from low contrast, complex background, variations in lesion shape and color, which affect the accuracy of their segmentation and subsequent classification. This research propos...

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Detalles Bibliográficos
Autores principales: Alaskar, Haya, Hussain, Abir, Al-Aseem, Nourah, Liatsis, Panos, Al-Jumeily, Dhiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471286/
https://www.ncbi.nlm.nih.gov/pubmed/30871162
http://dx.doi.org/10.3390/s19061265

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471286/
https://www.ncbi.nlm.nih.gov/pubmed/30871162
http://dx.doi.org/10.3390/s19061265

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