| Issue |
ITM Web Conf.
Volume 40, 2021
International Conference on Automation, Computing and Communication 2021 (ICACC-2021)
|
|
|---|---|---|
| Article Number | 03044 | |
| Number of page(s) | 5 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20214003044 | |
| Published online | 09 August 2021 | |
Automated Non-invasive Skin Cancer Detection using Dermoscopic Images
1 Dept. of Computer Engineering, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai
2 Dept. of Computer Engineering, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai
3 Dept. of Computer Engineering, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai
4 Dept. of Computer Engineering, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai
5 Dept. of Computer Engineering, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai
* Corresponding author: reema97.kharat@gmail.com
Skin Cancer is resulting from the growth of the harmful tumour of the melanocytes the rates are rising to another level. The medical business is advancing with the innovation of recent technologies; newer tending technology and treatment procedures are being developed. The early detection of skin cancer can help the chance of increase in its growth in other parts of body. In recent years, medical practitioners tend to use non invasive Computer aided system to detect the skin cancers in early phase of its spreading instead of relying on traditional skin biopsy methods. Convolution neural network model is proposed and used for early detection of the cancer, and it type. The proposed model could classify the dermoscopic images into correct type with accuracy 91.2%.
Key words: tumour / melanocytes / medical practitioners / non-invasive / biopsy / dermoscopic
© The Authors, published by EDP Sciences, 2021
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