Current Volume 9
Abstract
Skin diseases are one of the major health challenges in the world, and their occurrence differs among different populations. The health consequences of these diseases can be extremely severe. Therefore, early and precise detection of the diseases is very important in order to intervene in such cases, and this can be done in an accurate manner using the proposed model as compared to the conventional diagnosis process, as the conventional diagnosis process is more dependent on visual inspection and can differ according to the availability of dermatologists in different regions of the world. Therefore, this paper presents a novel framework based on AI technology to classify different skin diseases using dermoscopic images. Although the conventional diagnosis process can be more prone to error, the proposed model is based on a hybrid model that uses CNN and Transformer, and different images are used to train the model in order to make it more robust and accurate to handle images of different skin tones and types, as different images are used to train the model using various data sets, including ISIC and HAM10000, and the results show that the proposed ensemble learning approach can achieve more than 96Additionally, we incorporate Explainable AI (XAI) methods, including Grad- CAM and SHAP, to enable clinicians to interpret the rationale behind each classification decision through transparent visual explanations. By bridging the gap between high-performance deep learning and interpretability, this research targets the development of teledermatology initiatives and improves the accessibility of healthcare services in under-served regions.
Citations
IRE Journals:
Balaji G, Monisha V K "AI-Based Skin Disease Classification Using Deep Learning on Dermoscopic Images" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 3537-3545 https://doi.org/10.64388/IREV9I9-1715038
IEEE:
Balaji G, Monisha V K
"AI-Based Skin Disease Classification Using Deep Learning on Dermoscopic Images" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715038
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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