article · 2023

Melanoma Recognition Using Negative Selection

Muhammad Rushamir Hakimi Ruslan, Siti'Aisyah Sa'dan, Ummu Fatihah Mohd Bahrin, Siti Salbiah Hamzah, Sharifah Nurulhikmah Syed Yasin, Siti Nurul Hayatie Ishak

Cited by 1Abstract and details only

Abstract

Melanoma is the deadliest form of skin cancer and the most dangerous type. It is curable if detected earlier. The problem occurred when the current diagnosis biopsy method consumed much time and pain. Based on the proposed technique, the image of melanoma will be used. Corresponding features will be extracted based on the asymmetry, border, colour, and diameter (ABCD) rule of dermoscopy with Negative Selection Algorithm to classify melanoma skin cancer and benign mole. The accuracy of the proposed technique is 60%, specificity gained 75%, and sensitivity of 50% was recorded for the algorithm evaluation.

Cite this paper

APA 7

Ruslan, M. R. H., Sa'dan, S., Bahrin, U. F. M., Hamzah, S. S., Yasin, S. N. S., & Ishak, S. N. H. (2023). Melanoma Recognition Using Negative Selection. https://doi.org/10.1109/aidas60501.2023.10284661

MLA 9

Ruslan, Muhammad Rushamir Hakimi, et al. “Melanoma Recognition Using Negative Selection.” vol. 10, 2023, pp. 114–19, https://doi.org/10.1109/aidas60501.2023.10284661.

Chicago

Ruslan, Muhammad Rushamir Hakimi, Siti'Aisyah Sa'dan, Ummu Fatihah Mohd Bahrin, Siti Salbiah Hamzah, Sharifah Nurulhikmah Syed Yasin, and Siti Nurul Hayatie Ishak. 2023. “Melanoma Recognition Using Negative Selection.” https://doi.org/10.1109/aidas60501.2023.10284661.

Harvard

Ruslan, M.R.H. et al. (2023) ‘Melanoma Recognition Using Negative Selection’. Available at: https://doi.org/10.1109/aidas60501.2023.10284661.

BibTeX

@article{ruslan2023melanoma,
  title = {{Melanoma Recognition Using Negative Selection}},
  author = {Ruslan, Muhammad Rushamir Hakimi and Sa'dan, Siti'Aisyah and Bahrin, Ummu Fatihah Mohd and Hamzah, Siti Salbiah and Yasin, Sharifah Nurulhikmah Syed and Ishak, Siti Nurul Hayatie},
  volume = {10},
  pages = {114--119},
  year = {2023},
  doi = {10.1109/aidas60501.2023.10284661}
}

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