Hep-2 cell images fluorescence intensity classification to determine positivity based on neural network

@article{Zazilah2014Hep2CI,
  title={Hep-2 cell images fluorescence intensity classification to determine positivity based on neural network},
  author={M. Zazilah and Ahmad Fairuzabadi Mohd Mansor and N. Z. Yahaya},
  journal={2014 IEEE 2nd International Symposium on Telecommunication Technologies (ISTT)},
  year={2014},
  pages={138-143}
}
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 Immunofluorescence (IIF). The diagnosis consists of estimating… CONTINUE READING