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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: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
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Issue Published : 122
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| Paper Title: | SkinAI: Deep Learning and Transfer Learning Based System for Skin Disease Detection |
| Authors Name: | Palwinder Singh , Jagdish Singh , Vanshika Garg |
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IJRTI_213080
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| Published Paper Id: | IJRTI2606007 |
| Published In: | Volume 11 Issue 7, July-2026 |
| DOI: | |
| Abstract: | Dermatological disorders are one of the most prevalent types of health issues that impact millions globally. Timely identification is critical to allowing for prompt treatment to prevent serious implications from them. Historically dermatological professionals perform the visual inspection of patients to determine the health of their skin. This can be a lengthy, subjective, and prone to error method. In this paper a novel tool called SkinAI is introduced which applies deep Convolutional Neural Networks (CNN) and Transfer Learning techniques to automatically detect and diagnose various dermatologic disorders. Using deep learning models with Transfer Learning from support such as ResNet50, EfficientNetB0, and MobileNetV2; the proposed method utilizes dermoscopic images to classify various dermatologic disorders. The proposed methodology consists of preliminary steps to prepare the dermoscopic images, augment them, extract features from them, classify them, and visualize the output of classified dermatoscopic images via Grad-CAM to provide an explainable Artificial Intelligence (AI) solution. Empirical data indicates that the use of Transfer Learning greatly increases accuracy whilst decreasing computational overhead for model construction and time to train the model. The proposed SkinAI solution provides a practical and scalable means of performing automated dermatological diagnosis. The integration of an explainable AI system produces trust and transparency into medical decision supporting systems. |
| Keywords: | Deep Learning, Skin Disease Detection, CNN, Transfer Learning, Artificial Intelligence, Dermatology, Medical Imaging. |
| Cite Article: | "SkinAI: Deep Learning and Transfer Learning Based System for Skin Disease Detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 7, page no.a69-a78, July-2026, Available :http://www.ijrti.org/papers/IJRTI2606007.pdf |
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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: IJRTI2606007
Registration ID:213080
Published In: Volume 11 Issue 7, July-2026
DOI (Digital Object Identifier):
Page No: a69-a78 Country: Ludhiana, Punjab, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606007 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606007 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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