Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network

Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network

This paper investigates the performance of a Deep Convolutional Neural Network (DCNN) algorithm to identify bleeding areas of wireless capsule endoscopy (WCE) images without known prior knowledge of bleeding and normal features of the images. In this study, a pre-processing technique has been propos...

Descrición completa

Detalles Bibliográficos
Main Authors: Rosdiana, Shahril, Saito, Atsushi, Shimizu, Akinobu, Sabariah, Baharun
Formato: Artigo
Idioma:English
Publicado: Institute of Information Science 2020
Subjects:
QA76 Computer software
Acceso en liña:http://umpir.ump.edu.my/id/eprint/26711/1/Bleeding%20classification%20of%20enhanced%20wireless%20capsule%20endoscopy%20images%20.pdf

Títulos similares

Títulos similares