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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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Volume 10 | Issue 11
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 114
Article Submitted : 18702
Article Published : 7876
Total Authors : 20810
Total Reviewer : 757
Total Countries : 142
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| Paper Title: | AI-powered Dermatological Lesion Detection |
| Authors Name: | S.K.Umamaheswari , Ravikumar Deepika , Avanthikaa A.B. , B.GopiKrishna |
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IJRTI_201640
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| Published Paper Id: | IJRTI2503238 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Abstract— In this paper, we present AI-powered dermatological skin lesion detection. Skin diseases are a common global health issue that affects millions of people and is usually in need of early detection for proper treatment. This research introduces an Artificial Intelligence-based Skin Lesion Detection System that can detect and classify eight various dermatological conditions, including Cellulitis, Impetigo, Athlete's Foot, Nail Fungus, Ringworm, Cutaneous Larva Migrans, Chickenpox, and Shingles. Through uploaded skin photos analysis, the system offers real-time predictions with confidence scores and returns users with possible conditions, further providing symptom descriptions and treatment suggestions. It facilitates greater access for both individuals and healthcare workers, aiming to enable early diagnosis, minimize misdiagnosis, and enhance decision-making in dermatological practice and improve more accessible detection of skin diseases. |
| Keywords: | Dermatological Lesion , MobileNetV2 , Image recognition , Convolutional Neural Networks , Deep Learning . |
| Cite Article: | "AI-powered Dermatological Lesion Detection", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c261-c266, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503238.pdf |
| Downloads: | 000419 |
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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: IJRTI2503238
Registration ID:201640
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: c261-c266 Country: Tambaram, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503238 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503238 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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