International Journal of New Media Technology
Vol 8 No 2 (2021): IJNMT (International Journal of New Media Technology)

Application Of Dynamic Segmentation In Stroke Detection Software With ANN

Hastie Audytra (Universitas Nadhlatul Ulama Sunan Giri Bojonegoro)
Julian Supardi (Universitas Sriwijaya)
Abdiansah Abdiansah (Universitas Sriwijaya)



Article Info

Publish Date
28 Feb 2022

Abstract

One way to find out whether there is a stroke is to do a CT scan . But the results of the examination with a new CT scan can be obtained in quite a long time. In addition, sometimes there are differences of opinion between doctors and radiologists regarding what is seen from the results of the examination. This research was conducted to produce a software that can later be integrated with the existing system on the CT Scan tool so that it can immediately be known whether or not stroke is present from the CT Scan results. In this study, a dynamic image segmentation method is implemented, namely the watershed transformation method which will later produce regions as a feature for the stroke detection process carried out with the backpropagation algorithm. From experiments conducted on CT scan images of the brain, this method can detect stroke well. The results obtained are 100% for training data and 90% for test data.

Copyrights © 2021






Journal Info

Abbrev

IJNMT

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

International Journal of New Media Technology (IJNMT) is a scholarly open access, peer-reviewed, and interdisciplinary journal focusing on theories, methods, and implementations of new media technology. IJNMT is published annually by Faculty of Engineering and Informatics, Universitas Multimedia ...