Lesion Image Segmentation for Skin Cancer Detection Using Pix2Pix: A Deep Learning Approach-Reference-Cited by-同舟云学术

Lesion Image Segmentation for Skin Cancer Detection Using Pix2Pix: A Deep Learning Approach

Published:2023 Issue: Volume: Page:303-311
ISSN:2524-7565
Container-title:Proceedings of International Conference on Data, Electronics and Computing
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Author:

Roy Nemai,Kundu Achisman,Sikder Pritiman,Bhowmik Showmik

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1509-5_28

Reference24 articles.

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2. Debra Jaliman M (2021) Precancerous skin lesions and skin cancer slideshow. WebMD. https://www.webmd.com/melanoma-skin-cancer/ss/skin-cancer-and-skin-lesions-overview. Accessed 31 Aug 2021

3. Alphonse AS, Starvin MS (2020) A novel and efficient approach for the classification of skin melanoma. J Ambient Intell Hum Comput 1–25

4. Sung H et al (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249

5. Emre Celebi M, Wen Q, Hwang S, Iyatomi H, Schaefer G (2013) Lesion border detection in dermoscopy images using ensembles of thresholding methods. Skin Res Technol 19(1):e252–e258

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