Sahin, V. H., 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), 1-10. https://doi.org/10.1007/s10916-022-01863-7
ISO-690 (author-date, English)SAHIN, Veysel Harun, OZTEL, Ismail und YOLCU OZTEL, Gozde, 2022. Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application. Journal of Medical Systems. 1 November 2022. Vol. 46, no. 11, p. 1-10. DOI 10.1007/s10916-022-01863-7.
Modern Language Association 9th editionSahin, V. H., I. Oztel, und G. Yolcu Oztel. „Human Monkeypox Classification from Skin Lesion Images With Deep Pre-Trained Network Using Mobile Application.“. Journal of Medical Systems, Bd. 46, Nr. 11, November 2022, S. 1-10, https://doi.org/10.1007/s10916-022-01863-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Sahin, Veysel Harun/Oztel, Ismail/Yolcu Oztel, Gozde: Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application., Journal of Medical Systems 2022, 1-10.
Emerald - HarvardSahin, V.H., 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. 1-10.