Perpustakaan Fakultas Ilmu Komputer

Call Number	SEM-372
Collection Type	Indeks Artikel prosiding/Sem
Title	Cncer Lungs Detection on CT Scan Image Using Artifiial Neural Network Backpropagation Based Gray Level Coocurrence Matries Featre. Hal 327-333
Author	Lilik Anifah, Haryanto, Rina Harimurti, Zaimah Permatasari, Puput Wanarti Rusimamto, Adman Ridiantho Muhamd;
Publisher	ICACSIS 2017 International Conferenve on Advanced Computer Science and Information System
Subject	Component; lung cancer; backpropagation; neural network; glcm; CT-Image
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
SEM-372		TERSEDIA

Tidak ada review pada koleksi ini: 47371

Abstract- Lung cancer is the most common cause of cancer will greatly help to save the patient. This research focuses on detection of lung cancer using Artificial Neural Network Back-propagation based Gray Level Co-occurrence Matrices (GLCM) feature. The lung data used originates from the Cancerimagingarchive Database. Data used consisted of 50 CT-images. CT-image is grouped into 2 clusters, normal and lung cancer. The steps of this research are: image preprocessing, region of interest using Neural Network Back-propagation. The results shows system can detect CT-image of normal lung and lung cancer with accuracy of 80%. Hopefully use to help medical personnel and research to detect lung cancer status.