Comparative Study for Predicting Melanoma Skin Cancer Using Linear Discriminant Analysis (LDA) and Classification Algorithms-Reference-Cited by-同舟云学术

Comparative Study for Predicting Melanoma Skin Cancer Using Linear Discriminant Analysis (LDA) and Classification Algorithms

Published:2024 Issue: Volume: Page:326-338
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Adeniyi Abidemi Emmanuel^ORCID,Ayoola Joyce Busola,Farhaoui Yousef,Awotunde Joseph Bamidele^ORCID,Imoize Agbotiname Lucky^ORCID,Jimoh Gbenga Rasheed,Chollom Devine F.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-48465-0_42

Reference31 articles.

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2. Ayo, F.E., Ogundokun, R.O., Awotunde, J.B., Adebiyi, M.O., Adeniyi, A.E.: Severe acne skin disease: a fuzzy-based method for diagnosis. In: Computational Science and Its Applications–ICCSA 2020: 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI 20, pp. 320–334. Springer International Publishing (2020)

3. Gautam, D., Ahmed, M.: Melanoma detection and classification using SVM based decision support system. In: 2015 Annual IEEE India Conference (INDICON), pp. 1–5. (2015). https://doi.org/10.1109/indicon.2015.7443447

4. Global Cancer Observatory. (2020, June 20). World Health Organization, International Agency for Research on Cancer. https://gco.iarc.fr/

5. Oladipupo, M.A., Obuzor, P.C., Bamgbade, B.J., Adeniyi, A.E., Olagunju, K.M., Ajagbe, S.A.: An automated python script for data cleaning and labeling using machine learning technique. Informatica 47(6) (2023)

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