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All Journal IAES International Journal of Robotics and Automation (IJRA) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences Bulletin of Electrical Engineering and Informatics
Shilaskar, Swati
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Automotive Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Journal : Bulletin of Electrical Engineering and Informatics

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Automated real-time cervical cancer diagnosis using NVIDIA Jetson Nano Mulmule, Pallavi; Shilaskar, Swati; Bhatlawande, Shripad; Mulmule, Vedant; H Kamble, Vaishali; Madake, Jyoti
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.10169

Abstract

Cervical cancer is a global health concern, making early detection critical for ensuring effective treatment outcomes. Screening technique, the Papanicolaou test (Pap test), has been adopted globally for timely detection. Nevertheless, the process of screening is subjective. The current study aims to advance the development of an automated real time framework for cervical cell analysis for early-stage diagnosis using supervised classification on NVIDIA Jetson Nano platform. Our approach, leveraging adaptive fuzzy k-means (AFKM) clustering and k-means clustering, extracts distinctive features from cervical cell images for accurate classification. Utilizing multilayer perceptron (MLP) and support vector machine (SVM) classifiers, we achieved a classification accuracy of 97%, highlighting the potential of our system for real-time applications in cervical cancer investigation. Validation by two expert pathologists further supports the system’s practical utility.
Co-Authors Akotkar, Soham Ansari, Zayd Bhatlawande, Shripad Deshpande, Rupali H Kamble, Vaishali Joshi, Anish Kulkarni, Sakshi Kurian, Sachi Madake, Jyoti Mulmule, Pallavi Mulmule, Vedant Shaikh, Shajjad Shinde, Shivam Solanke, Anjali