American Psychological Association 6th edition

George, J., & Parivazhagan, A. (2025). Deep Skin Guard: A Robust Skin Cancer Detection Framework Integrating Modified U-Net Segmentation and Quadra Blend Net Fusion. International Journal of Pattern Recognition & Artificial Intelligence, 39(10), 1-29. https://doi.org/10.1142/S0218001425570071

ISO-690 (author-date, English)

GEORGE, Joseph und PARIVAZHAGAN, A., 2025. Deep Skin Guard: A Robust Skin Cancer Detection Framework Integrating Modified U-Net Segmentation and Quadra Blend Net Fusion. International Journal of Pattern Recognition & Artificial Intelligence. 1 August 2025. Vol. 39, no. 10, p. 1-29. DOI 10.1142/S0218001425570071.

Modern Language Association 9th edition

George, J., und A. Parivazhagan. „Deep Skin Guard: A Robust Skin Cancer Detection Framework Integrating Modified U-Net Segmentation and Quadra Blend Net Fusion.“. International Journal of Pattern Recognition & Artificial Intelligence, Bd. 39, Nr. 10, August 2025, S. 1-29, https://doi.org/10.1142/S0218001425570071.

Mohr Siebeck - Recht (Deutsch - Österreich)

George, Joseph/Parivazhagan, A.: Deep Skin Guard: A Robust Skin Cancer Detection Framework Integrating Modified U-Net Segmentation and Quadra Blend Net Fusion., International Journal of Pattern Recognition & Artificial Intelligence 2025, 1-29.

Emerald - Harvard

George, J. und Parivazhagan, A. (2025), „Deep Skin Guard: A Robust Skin Cancer Detection Framework Integrating Modified U-Net Segmentation and Quadra Blend Net Fusion.“, International Journal of Pattern Recognition & Artificial Intelligence, Vol. 39 No. 10, S. 1-29.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.