Search
 
loader loading subjects...
cover
Abnormal Red Blood Cells Detection Using Adaptive Neuro-fuzzy System
Nahid Babazadeh Khameneh, Hossein Arabalibeik, Piruz Salehian, Saeed Setayeshi
30 - 34
10.3233/978-1-61499-022-2-30
Studies in Health Technology and Informatics
Volume 173: Medicine Meets Virtual Reality 19
Abstract

Features like size, shape, and volume of red blood cells are important factors in diagnosing related blood disorders such as iron deficiency and anemia. This paper proposes a method to detect abnormality in red blood cells using cell microscopic images. Adaptive local thresholding and bounding box methods are used to extract inner and outer diameters of red cells. An adaptive network-based fuzzy inference system (ANFIS) is used to classify blood samples to normal and abnormal. Accuracy of the proposed method and area under ROC curve are 96.6% and 0.9950 respectively.

$35.00 / €27.50 / £22.00
Add PDF to cart