Multi-layer Neural Network for Breast Cancer Classification
Details of the organization
Name *
Multimedia University
Country *
Malaysia
Website (URL)
http://fet.mmu.edu.my/v4/
Type *
Others
Information about the project
Project title *
Multi-layer Neural Network for Breast Cancer Classification
Title acronym
Ml-NN
Description *
This system employs Multilayer Neural Network for breast cancer classification. Through the employed algorithm, it can classify the medical images into benign, malignant cancer and normal patient without prior information regarding the images. It is designed to assist medical doctors for breast cancer diagnosis through Multilayer Neural Network for breast cancer classification. The learning capability of designed neural networks enhances the quality of classification. The invention is applicable in medical image processing relevant industries, such as medical imaging devices companies, medical institutions.
Project website
http://fet.mmu.edu.my/research/ehealth/
Geographical coverage *
National implementation:
Malaysia
Status *
Ongoing
from 11/11/2008
to
31/07/2019
Partners
Research Collaboration Partners: • Putra Specialist Hospital, Malaysia. • Hong Kong University of Science and Technology, HongKong. • Deaking University, Australia. • Chiba University, Japan.
WSIS information
WSIS action lines related to this project
*
E-health
Sustainable Development Goals (SDGs) related to this project
Goal 3: Ensure healthy lives and promote well-being for all
Project type *
Project
Programme
Conference
Publication
