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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21665
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | Stages Of Skin Cancer Using Machine Learning |
| Authors Name: | Adib Alam , Mohammed Mubasheer , Sudha V Paraddy |
| Download E-Certificate: | Download |
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IJRTI_204538
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| Published Paper Id: | IJRTI2506042 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Dermatology is only one of several medical specialties that might benefit from artificial intelligence (AI). Machine learning (ML) is a branch of artificial intelligence that uses algorithms and statistical models to learn from data and then use that knowledge to predict the features of fresh samples and complete tasks. Dermatology is not as well accepted as radiology when it comes to artificial intelligence, despite its important role in skin cancer diagnosis. Artificial intelligence (AI) is gradually making its way into the hands of the average person because to innovations in both established and new technology. One area where AI might be useful is in the early diagnosis of skin cancer. In order to create a system that can analyze skin photos in order to identify skin cancer, for instance, deep convolutional neural networks may be used. If skin cancer is detected early, it may be treated more effectively, leading to better results. Although cancer specialists are highly skilled in making the correct diagnosis, there is a pressing need to create automated systems that can identify the illness quickly and effectively. This will help save lives and alleviate patients' financial and health-related problems. In this respect, ML may prove to be quite useful. For this undertaking. |
| Keywords: | Artificial Intelligence (AI), Machine Learning (ML), Skin Cancer Detection, Deep Learning, Convolutional Neural Networks (CNN). |
| Cite Article: | "Stages Of Skin Cancer Using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a406-a412, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506042.pdf |
| Downloads: | 000493 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2506042
Registration ID:204538
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a406-a412 Country: Kalaburagi, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506042 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506042 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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