Hair Removal and Lesion Segmentation with FCN8-ResNetC and Image Processing in Images of Skin Cancer-Reference-Cited by-同舟云学术

Hair Removal and Lesion Segmentation with FCN8-ResNetC and Image Processing in Images of Skin Cancer

Published:2022-04-30 Issue:2 Volume:15 Page:231-238
ISSN:1307-9697
Container-title:Bilişim Teknolojileri Dergisi
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Author:

AKYEL Cihan,ARICI Nursal

Publisher

International Journal of Informatics Technologies

Reference38 articles.

1. O. Baykara, “Current Modalities in Treatment of Cancer”, Balıkesir Health Sciences Journal, 5(3), 154-165, 2016.

2. Internet: WHO, https://www.who.int/news-room/fact-sheets/detail/cancer, 20.10.2021.

3. R. L. Siegel, K.D. Miller KD, Jemal A. “Cancer statistics”, ACS Journal, 71(1), 7-33, 2021.

4. H. M. Unver, E. Ayan, “Skin Lesion Segmentation in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm”, Diagnostics Journal, 9(72), 1-21, 2019.

5. K. H. Güngör, Metastaz Yapmamış Melanoma Ve Melanoma Dışı Deri Kanserleri İçin Geliştirilmiş Olan Deri Kanseri İlişkili Yaşam Kalitesi Ölçeğinin (Dkykö) Türkçe Geçerlilik Ve Güvenilirliğinin Araştırılması, Tıpta Uzmanlık Tezi, Ankara Üniversitesi Tıp Fakültesi, 2016.

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