1 publication

• Published Subscription Review Article 31 Dec 2024

  Parkinson’s Disease Detection on Spiral Images Using CNN with Meta-Classifiers

  By S. Sumahasan, K. Purushotam Naidu, V. Lakshmana Rao, A. Udaya Kumar

  Abstract: In this work, we provide a detailed method for identifying Parkinson’s Disease (PD) by integrating Convolutional Neural Network (CNN) and meta-classifiers. Through the utilization of a varied dataset consisting of handwritten spiral images, our methodology demonstrates commendable accuracy across a range of models. Specifically, our CNN model with meta-classifiers surpasses alternative approaches, achieving an impressive accuracy rate of 95.07%. By utilizing pre-established VGG16 and ResNet50 architectures as bases, the region-based …

  Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 55–66 Read article →