Universiti Teknologi Malaysia Institutional Repository

Tumor localization in breast thermography with various tissue compositions by using Artificial Neural Network

Wahab, A. A. and Salim, M. I. M. and Yunus, J. and Aziz, M. N. C. (2016) Tumor localization in breast thermography with various tissue compositions by using Artificial Neural Network. In: IEEE Student Conference on Research and Development, SCOReD 2015, 13 - 14 Dec 2015, Kuala Lumpur, Malaysia.

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Identifying and treating the tumor at its early stages has become one of the major challenges faced in the area of breast imaging field since the number of women diagnosed with breast cancer has gradually increase over the years. Breast thermography has distinguished itself as a promising adjunctive imaging modality to the current breast imaging standard for early detection of breast cancer. It provides additional information of underlying physiological changes of the cancerous tissues. However, this particular technique has not yet been accepted for clinical use for it is shown to be highly dependent on a trained operator and also due to the unavailability of a large clinical database for reference and classification. Therefore, this study proposed the development of Artificial Neural Network for tumor localization using thermal data obtained from the previous works. It utilized multiple features extracted from a series of numerical simulations conducted on various tissue composition breast models and were fed into the optimized ANN system of 6-8-1 network architecture with a learning rate of 0.2, an iteration rate of 20000 and a momentum constant value of 0.3. Result obtained shows that this newly developed ANN has a high performance accuracy percentage of 96.33% and 92.89% to both testing and validation data respectively.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:artificial neural network, breast thermography, Tumor depth
Subjects:Q Science > QH Natural history
Divisions:Biosciences and Medical Engineering
ID Code:73320
Deposited By: Mohd Zulaihi Zainudin
Deposited On:20 Nov 2017 16:42
Last Modified:20 Nov 2017 16:42

Repository Staff Only: item control page