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Title: :  Skin Cancer Classification Using Deep Learning
PaperId: :  27370
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27370
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Raksha ACMR university

Abstract

computer science
Artificial Intelligence (AI), Deep Learning (DL), Convolutional Neural Network (CNN), Efficient Network (EfficientNet), Society for Imaging Informatics in Medicine (SIIM), International Skin Imaging Collaboration (ISIC), Transfer Learning (TL), Binary Classification (BC), Dropout Regularization (DR), Adaptive Moment Estimation (Adam), Binary Crossentropy Loss (BCE), Open Neural Network Exchange (ONNX), Web User Interface (UI), Real-Time Classification (RTC), Portable Document Format (PDF), Clinical Decision Support System (CDSS), Melanocytic Nevi (NV), Basal Cell Carcinoma (BCC), Squamous Cell Carcinoma (SCC), Rectified Linear Unit (ReLU).
Skin cancer, particularly melanoma, remains a critical public health concern, where early diagnosis significantly improves treatment outcomes. This research project applies deep learning techniques—specifically EfficientNet architectures—for the classification of skin lesions using dermatoscopic images and patient metadata. The model leverages transfer learning on pre-trained EfficientNetB4, B5, and B7 architectures, fine-tuned using the SIIM-ISIC 2020 Melanoma Classification Dataset, which contains over 33,000 images along with contextual metadata such as age, gender, and lesion location. The binary classification task predicts whether a lesion is malignant or benign. To improve performance, the model incorporates both image and metadata inputs, uses dropout regularization, and is trained using the Adam optimizer with binary crossentropy loss. The model is further deployed via ONNX and integrated into a web interface that allows real-time image classification and downloadable PDF report generation. This system demonstrates the feasibility of using AI to support dermatological diagnostics in both clinical and remote environments.

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IJARIIE Raksha A. "Skin Cancer Classification Using Deep Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 3722-3729
MLA Raksha A. "Skin Cancer Classification Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 3722-3729.
APA Raksha A. (2025). Skin Cancer Classification Using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 3722-3729.
Chicago Raksha A. "Skin Cancer Classification Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 3722-3729.
Oxford Raksha A. 'Skin Cancer Classification Using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 3722-3729. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Skin_Cancer_Classification_Using_Deep_Learning_ijariie27370.pdf (Accessed : ).
Harvard Raksha A. (2025) 'Skin Cancer Classification Using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 3722-3729IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Skin_Cancer_Classification_Using_Deep_Learning_ijariie27370.pdf (Accessed : )
IEEE Raksha A, "Skin Cancer Classification Using Deep Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 3722-3729, Jul-Aug 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Skin_Cancer_Classification_Using_Deep_Learning_ijariie27370.pdf [Accessed : ].
Turabian Raksha A. "Skin Cancer Classification Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver Raksha A. Skin Cancer Classification Using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 3722-3729. Available from: https://ijariie.com/AdminUploadPdf/Skin_Cancer_Classification_Using_Deep_Learning_ijariie27370.pdf
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