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

• المؤلفون الرئيسيون: Rosdiana, Shahril, Saito, Atsushi, Shimizu, Akinobu, Sabariah, Baharun
• التنسيق: مقال
• اللغة: English
• منشور في: Institute of Information Science 2020
• الموضوعات: QA76 Computer software
• الوصول للمادة أونلاين: http://umpir.ump.edu.my/id/eprint/26711/1/Bleeding%20classification%20of%20enhanced%20wireless%20capsule%20endoscopy%20images%20.pdf; http://umpir.ump.edu.my/id/eprint/26711/; http://jise.iis.sinica.edu.tw/JISESearch/pages/View/PaperView.jsf?keyId=172_2294

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...