Premaladha Jayaraman

Classification of stroke disease using machine learning algorithms

Rizwan Patan, Amir H. Gandomi, Premaladha Jayaraman, 2019, Neural Computing and Applications.

A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem

K. R. Sekar, K. S. Ravichandran, Manikandan Ramachandran, 2020, Soft Comput..

Extraction of Blood Vessels in Fundus Images of Retina through Hybrid Segmentation Approach

Ramakrishnan Sundaram, Premaladha Jayaraman, B Venkatraman, 2019, Mathematics.

Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms

K. S. Ravichandran, Premaladha Jayaraman, K. S. Ravichandran, 2016, Journal of Medical Systems.

A novel hybrid segmentation approach for optic papilla detection in high resolution fundus images of retina

K. S. Ravichandran, B Venkatraman, Ramakrishnan Sundaram, 2020, Multimedia Tools and Applications.

Comparative Analysis of Machine Learning Algorithms for Categorizing Eye Diseases

K. S. Ravichandran, Raghunathan Krishankumar, Samarjit Kar, 2020, IFIP TC12 ICIS.

DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework

R. Krishankumar, Premaladha Jayaraman, Nirmala Veeramani, 2024, Scientific reports.