Review on skin cancer using machine learning

https://doi.org/10.53730/ijhs.v6nS5.10330

Authors

  • Shikha Department of CSE, Galgotias University
  • N. Gayathri Department of CSE, Galgotias University

Keywords:

skin cancer, machine learning, abnormal cells

Abstract

Today, cancer is a deadly disease caused by a division that is unable to govern the abnormal cells in the human body. As a result, malignant cells grow rapidly and can invade and destroy nearby structures as well as spread to distant locations, ultimately leading to death. All live cells at all levels of the human body can be affected by cancer, regardless of gender. Skin cancer is on the rise these days as skin cells multiply and unrepaired DNA damage to those cells causes mutations. It has been established that basal cell, squamous, and melanomas are all separate types of skin cancer. Skin cancers of the melanoma and non-melanoma varieties are the most frequent. Melanocytes, the cells that produce the skin's colour, are malignant and capable of spreading to whole body. Additionally, it has the potential to spread throughout the body, posing a serious health risk or even resulting in death.

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References

Abas Mouhari-Toure. (2021). Factors Associated with Skin Cancers in People with Albinism in Togo. Journal of Skin Cancer.

Cristina Carrera. (2020). Squamous Cell Carcinoma: An Update on Diagnosis and Treatment. Research Gate.

Fredrick. D. (n.d.). Skin cxancer : Its causes , Prevention & Treatment. https://acsjournals.onlinelibrary.wiley.com/doi/pdf/10.3322/canjclin.7.6.190

Howard K. Koh. (n.d.). The Surgeon General’s Call To Action To Prevent Skin Cancer. U.S. Department Of Health And Human Services. https://www.hhs.gov/sites/default/files/call-to-action-prevent-skin-cancer.pdf

J Am Acad Dermatol. (2019). Guidelines of care for the management of cutaneous squamous cell carcinoma. National Library of Medicine. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6652228/

Kristjan Orthaber,1 Matevž Pristovnik, 1 Kristijan Skok. (n.d.). Skin Cancer and Its Treatment: Novel Treatment Approaches with Emphasis on Nanotechnology. HINDAWI. https://www.hindawi.com/journals/jnm/2017/2606271/

M, V. M. (2019). Melanoma Skin Cancer Detection using Image Processing and Machine Learning. International Journal of Trend in Scientific Research and Development. https://doi.org/10.31142/ijtsrd23936

M. Imran Qadir. (2016). Skin cancer: Etiology and management. RESEARCH GATE. https://www.researchgate.net/publication/303879722_Skin_cancer

Marc Rocholl. (2021). UV-Induced Skin Cancer Knowledge, Sun Exposure, and Tanning Behavior among University Students: Investigation of an Opportunity Sample of German University Students. Hindawi. ttps://www.hindawi.com

Martins RG. (2020). About Basal and Squamous Cell Skin Cancer. American Cancer Society. https://www.cancer.org/content/dam/CRC/PDF/Public/8818.00.pdf

Mathew, A. (2021). Deep Learning Techniques: An Overview. Research Gate.

Rachel Reiff Ellis. (2021). Treatment Options for Advanced Basal Cell Carcinoma. WebMD. https://www.webmd.com/melanoma-skin-cancer/basal-cell-carcinoma-treatment

Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). Get vaccinated when it is your turn and follow the local guidelines. International Journal of Health Sciences, 5(3), x-xv. https://doi.org/10.53730/ijhs.v5n3.2938

Talel Badri; Robert B. Steele. (2021). Basal Cell Carcinoma. National Library of Medicine. https://www.ncbi.nlm.nih.gov/books/NBK482439/#:~:text=The current mainstay of BCC,rates%2C generally over 95%25.

Thaib, P. K. P., & Rahaju, A. S. (2022). Clinicopathological profile of clear cell renal cell carcinoma. International Journal of Health & Medical Sciences, 5(1), 91-100. https://doi.org/10.21744/ijhms.v5n1.1846

V, C. (2013). A Review On Skin Cancer. Research Gate. https://www.researchgate.net/publication/307673116_A_REVIEW_ON_SKIN_CANCER

Published

07-08-2022

How to Cite

Shikha, S., & Gayathri, N. (2022). Review on skin cancer using machine learning. International Journal of Health Sciences, 6(S5), 7250–7259. https://doi.org/10.53730/ijhs.v6nS5.10330

Issue

Section

Peer Review Articles