Sahin VH, Oztel I, & Yolcu Oztel G. (2022). Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application. Journal of Medical Systems, 46(11), 79-79. https://doi.org/10.1007/s10916-022-01863-7
ISO-690 (author-date, English)SAHIN VH, OZTEL I und YOLCU OZTEL G, 2022. Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application. Journal of medical systems. 10 Oktober 2022. Vol. 46, no. 11, p. 79-79. DOI 10.1007/s10916-022-01863-7.
Modern Language Association 9th editionSahin VH, Oztel I, und Yolcu Oztel G. „Human Monkeypox Classification from Skin Lesion Images With Deep Pre-Trained Network Using Mobile Application.“. Journal of Medical Systems, Bd. 46, Nr. 11, Oktober 2022, S. 79-79, https://doi.org/10.1007/s10916-022-01863-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Sahin VH/Oztel I/Yolcu Oztel G: Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application., Journal of medical systems 2022, 79-79.
Emerald - HarvardSahin VH, Oztel I und Yolcu Oztel G. (2022), „Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application.“, Journal of Medical Systems, Vol. 46 No. 11, S. 79-79.