Hep-2 cell images fluorescence intensity classification to determine positivity based on neural network
This paper applies the concept of Artificial Neural Network (ANN) to classify fluorescence intensity of Hep-2 cell images into three classes; positive, intermediate and negative auto-immune disease. Recently, the recommended method for detection antinuclear auto-antibodies (ANA) is Indirect Immunofl...
| Main Authors: | Zazilah, M., Mansor, A.F., Yahaya, N.Z. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31554 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946595063&doi=10.1109%2fISTT.2014.7238192&partnerID=40&md5=a9855bb7805e2cf23b6736f1ea0b4d3f http://eprints.utp.edu.my/31554/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|