Using Deep Learning Models Based on WGAN: A Solution to Improve Melanoma Diagnosis in Dermoscopy Images

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Shojaedini Seyed Vahab; Roghanizadeh Reza; Partovi Akbar

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2024 | Issue:10

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Title

Using Deep Learning Models Based on WGAN: A Solution to Improve Melanoma Diagnosis in Dermoscopy Images

Author(s)

Shojaedini Seyed Vahab | Roghanizadeh Reza | Partovi Akbar

Keywords

Melanoma

Data Augmentation

GAN

WGAN

Pre-trained Deep Learning Model

Dermoscopy

Abstract

Melanoma is one of the types of cancerous skin lesions, where early detection is crucial to prevent patient mortality. One method for early detection of Melanoma involves using dermoscopic images of skin lesions to train deep learning models, which can then be used to classify skin lesions in patients, including the diagnosis of Melanoma. A significant limitation of deep learning models is their need for substantial amounts of labeled data. This article discusses Data Augmentation using the Wasserstein GAN (WGAN) network to overcome the issue of limited diversity in images generated by GAN networks (a problem known as Mode Collapse). By generating 5, 000 high-quality synthetic images of the Melanoma class and adding these images to the unbalanced HAM10000 dataset, an improved accuracy in diagnosing this disease was achieved using the pre-trained deep ResNet50 model. The proposed model improved Melanoma classification accuracy by 10% without significantly altering the overall model accuracy. These results suggest that using the WGAN network for Data Augmentation can enhance the classification accuracy of Melanoma.

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APA: Copy

Shojaedini, Seyed Vahab, Roghanizadeh, Reza, & Partovi, Akbar. (2024). Using Deep Learning Models Based on WGAN: A Solution to Improve Melanoma Diagnosis in Dermoscopy Images. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/1147666/en

Vancouver: Copy

Shojaedini Seyed Vahab, Roghanizadeh Reza, Partovi Akbar. Using Deep Learning Models Based on WGAN: A Solution to Improve Melanoma Diagnosis in Dermoscopy Images. 2024. Available from: https://sid.ir/paper/1147666/en

IEEE: Copy

Seyed Vahab Shojaedini, Reza Roghanizadeh, and Akbar Partovi, “Using Deep Learning Models Based on WGAN: A Solution to Improve Melanoma Diagnosis in Dermoscopy Images,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2024, [Online]. Available: https://sid.ir/paper/1147666/en

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