Automatic classification of ANA HEp-2 Immunofluorescence images based on the texture features using artificial neural network

Sachin Vijay Kumar, V. Shwetha, Vijayalaxmi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Indirect Immunfluorsece method (IFA) is one of the important laboratory procedures for the diagnosis of the autoimmune disease, but it suffers from low throughput and subjectivity due to manual interpretation. The Human Epithelial type-2 (HEp-2) pattern, such as homogeneous, speckled, centromere, Nucleolar pattern images, gives the diagnosis of different autoimmune diseases. For the current study, different patterns are obtained from the publicly available datasets A.I.D.A ((Auto- Immunity Diagnosis by Computer) project of 1000 images. The images pre-processed and features such as statistical and textural features extracted and explored to find the appropriate one for the detection and the classification of ANA HEp2 cells pattern. The paper uses the Analysis of Variance (ANOVA) for the identification of appropriate features and Artifical Neural network (ANN) for classification. The result obtained indicates that textural features are the better features in comparison with other extracted features, with the results obtained average accuracy around 92% using ANN as the classifier. The outcome thus produced is useful for the further design of cost-effective image analysis in the autoimmune diagnosis.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on I-SMAC IoT in Social, Mobile, Analytics and Cloud, I-SMAC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages592-597
Number of pages6
ISBN (Electronic)9781728143651
DOIs
Publication statusPublished - 12-2019
Externally publishedYes
Event3rd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2019 - Palladam, India
Duration: 12-12-201914-12-2019

Publication series

NameProceedings of the 3rd International Conference on I-SMAC IoT in Social, Mobile, Analytics and Cloud, I-SMAC 2019

Conference

Conference3rd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2019
CountryIndia
CityPalladam
Period12-12-1914-12-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Health Informatics
  • Social Sciences (miscellaneous)
  • Communication

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