Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN) on Melanoma Skin Cancer Detection-Reference-Cited by-同舟云学术

Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN) on Melanoma Skin Cancer Detection

Published:2023-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology
language:
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Author:

Hernandez Rowell M¹^ORCID,Ragasa Adrian Angel¹^ORCID,Macatangay Lloyd¹^ORCID,Palad Lanie¹^ORCID,Mendez Celinne¹^ORCID,Mendez Celinne¹^ORCID

Affiliation:

1. Batangas State University, Philippines

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626641.3627608

Reference21 articles.

1. What Is Cancer? (2021 October 11). National Cancer Institute. https://www.cancer.gov/about-cancer/understanding/what-is-cancer What Is Cancer? (2021 October 11). National Cancer Institute. https://www.cancer.gov/about-cancer/understanding/what-is-cancer

2. Melanoma Treatment (PDQ®)–Patient Version. (2022b September 6). National Cancer Institute. https://www.cancer.gov/types/skin/patient/melanoma-treatment-pdq Melanoma Treatment (PDQ®)–Patient Version. (2022b September 6). National Cancer Institute. https://www.cancer.gov/types/skin/patient/melanoma-treatment-pdq

3. Celebi , M. E. , Mendonca , T. , & Marques , J. S. ( 2018 ). Dermoscopy Image Analysis . Amsterdam University Press . Celebi, M. E., Mendonca, T., & Marques, J. S. (2018). Dermoscopy Image Analysis. Amsterdam University Press.

4. Holmes , G. A. , Vassantachart , J. M. , Limone , B. A. , Zumwalt , M. , Hirokane , J. , & Jacob , S. E. ( 2018 ). Using Dermoscopy to Identify Melanoma and Improve Diagnostic Discrimination. Federal practitioner : for the health care professionals of the VA , DoD, and PHS, 35(Suppl 4), S39–S45. Holmes, G. A., Vassantachart, J. M., Limone, B. A., Zumwalt, M., Hirokane, J., & Jacob, S. E. (2018). Using Dermoscopy to Identify Melanoma and Improve Diagnostic Discrimination. Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 35(Suppl 4), S39–S45.

5. A comparative study of deep learning architectures on melanoma detection