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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Towards Enhanced Melanoma Skin Cancer Detection Using Image Processing and Transfer Learning |
| Authors Name: | Hussaini Aliyu Idris , Adamu Muhammad , Umar Abubakar Tsakuwa |
| Download E-Certificate: | Download |
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IJNRD_212026
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| Published Paper Id: | IJNRD2401042 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | Melanoma, a life-threatening form of skin cancer caused by DNA damage from ultraviolet radiation, poses a significant health risk. Early detection plays a critical role in successful treatment outcomes. In this paper, we present a novel approach for the detection of melanoma skin cancer using image processing techniques and transfer learning. Our proposed method aims to improve accuracy compared to existing state-of-the-art techniques. We conducted extensive experiments using the publicly available MED-NODE skin cancer dataset, which comprises high-resolution skin lesion images. Our approach leverages image processing algorithms to extract relevant features and employs transfer learning with pre-trained models to enhance classification performance. By fine-tuning a pre-trained model specifically VGG19, we capitalize on the learned representations from a large dataset like ImageNet. The results of our experiments demonstrate the superiority of the proposed approach, exhibiting an impressive improvement of approximately 10% in accuracy compared to existing methods. The validation of our approach using the MED-NODE skin cancer dataset further strengthens its effectiveness in melanoma detection. |
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| Cite Article: | "Towards Enhanced Melanoma Skin Cancer Detection Using Image Processing and Transfer Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.a363-a368, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2401042.pdf |
| Downloads: | 000118757 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2401042 Registration ID: 212026 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: a363-a368 Country: Ringim, Jigawa, Nigeria Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2401042 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2401042 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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