Fractional gravitational search-radial basis neural network for bone marrow white blood cell classification

ABSTRACT

Automotive image segmentation systems are becoming an important tool in the medical field for disease diagnosis. The white blood cell (WBC) segmentation is crucial, because it plays an important role in the determination of the diseases and helps experts to diagnose the blood disease disorders. The precise segmentation of the WBCs is quite challenging because of the complex contents in the bone marrow smears. In this paper, a novel neural network (NN) classifier is proposed for the classification of the bone marrow WBCs. The proposed NN classifier integrates the fractional gravitation search (FGS) algorithm for updating the weight in the radial basis function mapping for the classification of the WBC based on the cell nucleus feature. The experimentation of the proposed FGS-RBNN classifier is carried on the images collected from the publically available dataset. The performance of the proposed methodology is evaluated over the existing classifier approaches using the measures accuracy, sensitivity, and specificity. The results show that the classification using the nucleus features alone can be utilized to achieve the classification with the better accuracy. Moreover, the classification performance of the proposed FGS-RBNN is better than the existing classifiers, and it is proved to be the efficacious classifier with a classification accuracy of 95%.

KEYWORDS:

• Radial basis network
• gravitational search algorithm
• bone marrow
• white blood cells
• fuzzy c-means clustering algorithm

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Namdev Devidas Pergad obtained B.E. & M.E. in Electronics Engineering from Marathwada University, Aurangabad and Shivaji University, Kolhapur in 1989 and 2006, respectively. He is currently working as Associate Professor in Shri Tulja Bhavani College of Engineering, Tuljapur-413601, Osmanabad, Maharashtra. His research interest is Digital Image Engineering. He has more than 3 publications in International Journals and Conferences.

Satish T. Hamde obtained B.E. & M.E. in Instrumentation from Dr. B.A.M.U., Aurangabad in 1987 and 1992, respectively. He was awarded Ph.D in Instrumentation from IIT, Roorkee in 2001. He is currently working as Professor in SGGS IE&T, Nanded, Nanded(MS). His research interest is Bio-Medical. He has more than 50 publications in various International Journals and Conferences.