Published March 30, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

Melanoma Skin Cancer Detection with the Integration of a Conversational Chatbot

Creators

  • 1. Department of Information Technology, JSPM BSIOTR, Pune (Maharashtra), India.

Contributors

Contact person:

  • 1. Department of Information Technology, JSPM BSIOTR, Pune (Maharashtra), India.

Description

Abstract: Skin cancer, specifically melanoma, results from abnormal melanocytic cell growth and can be fatal. It typically appears as dark lesions due to UV exposure and genetic factors. Early detection is crucial fortreatment. The conventional method, biopsy, is invasive, painful, and slow, as it requires lab analysis. To address these issues, a non- invasive computer-aided diagnosis (CAD) system is proposed, using dermoscopy images. This system preprocesses the images, segments the lesion, extracts unique features, and then classifies the skin as normal or cancerous using a support vector machine (SVM). The SVM with a linear kernel demonstrates optimal accuracy. CAD eliminates the need for physical contact, reducing pain and improving efficiency in melanoma detection through advanced image processing techniques.

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Additional details

Identifiers

DOI
10.54105/ijpmh.C1057.05030325
EISSN
2582-7588

Dates

Accepted
2025-03-15
Manuscript received on 13 January 2025 | First Revised Manuscript received on 20 January 2025 | Second Revised Manuscript received on 25 February 2025 | Manuscript Accepted on 15 March 2025 | Manuscript published on 30 March 2025.

References

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