Diabetic Foot Ulcer Detection Using Self-Supervised Learning on Limited Labelled Datasets
Authors: Nitiraj V. Kulkarni
Year:
Venue: Copyright Registration — Diary No. 2522/2025-CO/L
Publisher: Copyright Office, India
Type: copyright (published)
Abstract
Copyright registration for a diabetic foot ulcer detection system using self-supervised learning on limited labelled datasets.
This work intersects with research areas including diabetic foot ulcer, self-supervised learning, limited labels, medical imaging, and copyright. It is part of the broader research portfolio of Nitiraj V. Kulkarni in the domain of registered original works.
Keywords & Topics
diabetic foot ulcer, self-supervised learning, limited labels, medical imaging, copyright
How to Cite
APA
Nitiraj V. Kulkarni (2025). Diabetic Foot Ulcer Detection Using Self-Supervised Learning on Limited Labelled Datasets. Copyright Registration, Diary No. 2522/2025-CO/L. Copyright Office, India.
IEEE
Nitiraj V. Kulkarni, "Diabetic Foot Ulcer Detection Using Self-Supervised Learning on Limited Labelled Datasets," Copyright Registration, Diary No. 2522/2025-CO/L, 2025.
BibTeX
@article{2025_copyright_diabetic_foot_ulcer_detection,
title={Diabetic Foot Ulcer Detection Using Self-Supervised Learning on Limited Labelled Datasets},
author={Nitiraj V. Kulkarni},
journal={Copyright Registration},
year={2025},
publisher={Copyright Office, India}
}Identifiers & Links
Last updated: 2025-01-01
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About the Author
Nitiraj V. Kulkarni is an AI safety and cybersecurity researcher based in Pune, India, with 35+ peer-reviewed publications, 5 patents, 6 copyright registrations, and 15,000+ open datasets published on Kaggle and Zenodo. He serves as a peer reviewer for 11+ international journals and conferences. Read full profile.