Deep learning-based computer aided diagnosis model for skin cancer detection and classification-Reference-Cited by-同舟云学术

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Deep learning-based computer aided diagnosis model for skin cancer detection and classification

Published:2021-08-23 Issue: Volume: Page:
ISSN:0926-8782
Container-title:Distributed and Parallel Databases
language:en
Short-container-title:Distrib Parallel Databases

Author:

Adla Devakishan,Reddy G. Venkata Rami,Nayak Padmalaya,Karuna G.

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10619-021-07360-z.pdf

Reference27 articles.

1. Ünver, H.M., Ayan, E.: Skin lesion segmentation in dermoscopic images with combination of YOLO and grabcut algorithm. Diagnostics 9(3), 72 (2019)

2. Karimkhani, C., Green, A., Nijsten, T., Weinstock, M., Dellavalle, R., Naghavi, M., Fitzmaurice, C.: The global burden of melanoma: results from the Global Burden of Disease Study 2015. Br. J. Dermatol. 177, 134–140 (2017)

3. Jemal, A., Siegel, R., Ward, E., Hao, Y., Xu, J., Thun, M.J.: Cancer statistics, 2019. CA Cancer J. Clin. 69, 7–34 (2019)

4. Neelakandan, S., Paulraj, D.: A gradient boosted decision tree-based sentiment classification of twitter data. Int. J. Wavelets Multiresolut. Inf. Process. (2020). https://doi.org/10.1142/S0219691320500277

5. Paulraj, D.: An automated exploring and learning model for data prediction using balanced CA-Svm. J. Ambient Intell. Humaniz. Comput. (2020). https://doi.org/10.1007/s12652-020-01937-9

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