An Efficient Deep Transfer Learning Approach for Classification of Skin Cancer Images

Author:

Naik Prithviraj PurushottamORCID,Annappa B.ORCID,Dodia ShubhamORCID

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Guy, G.P., Jr., Machlin, S.R., Ekwueme, D.U., Yabroff, K.R.: Prevalence and costs of skin cancer treatment in the US, 2002–2006 and 2007–2011. Am. J. Prev. Med. 48(2), 183–187 (2015)

2. “Infographic: Don’t Fry: Preventing Skin Cancer”. American Cancer Society. Accessed 10 May 2022. https://www.cancer.org/healthy/be-safe-in-sun/skin-cancer-prevention-infographic.html

3. Cancer Facts & Figures 2022: American Cancer Society. Accessed 10 May 2022. https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2022.html

4. Hill, L., Ferrini, R.L.: Skin cancer prevention and screening: summary of the American College of Preventive Medicine’s practice policy statements. CA Cancer J. Clin. 48(4), 232–235 (1998)

5. Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345–1359 (2009)

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1. Advancements of Skin Cancer Classification using Transfer Learning Segmentation;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

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