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Melanoma Malignancy Prognosis Using Deep Transfer Learning | IEEE Conference Publication | IEEE Xplore

Abstract:

Melanoma is a type of Skin cancer that spreads rapidly and has a significant death risk if it is not detected early and treated. A prompt and accurate diagnosis can impro...Show More

Abstract:

Melanoma is a type of Skin cancer that spreads rapidly and has a significant death risk if it is not detected early and treated. A prompt and accurate diagnosis can improve the patient’s chances of survival. The creation of a skin cancer diagnostic support system based on computer technologies is highly essential. This study suggests a unique deep transfer learning model for categorizing melanoma malignancy. The proposed system comprises of three main phases including image preprocessing, feature extraction and melanoma classification. The preprocessing phase employs image filters such as mean, median, gaussian and non-local means filter along with histogram equalization techniques to obtain the preprocessed images. Feature extraction and classification are performed using pre-trained Convolutional Neural Network architectures such as DenseNet121, Inception-Resnet-V2 and Xception. Using the ISIC 2020 dataset, the suggested deep learning model’s effectiveness is assessed. The experimental findings show that, in terms of precision and computational expense, the suggested deep transfer learning model performs better than cutting-edge deep learning algorithms.
Date of Conference: 21-22 April 2023
Date Added to IEEE Xplore: 06 July 2023
ISBN Information:
Conference Location: Bangalore, India

I. Introduction

One of the most prevalent cancers in the world is skin cancer and it significantly impacts the quality of life. Overexposing skin to UV light from the sun is the most frequent cause of this type of cancer. Individuals with fair-skin and high sensitivity to solar light experience effects from UV radiation at a higher rate than individuals with dark skin and less solar sensitivity. The deadliest form of skin cancer, melanoma now accounts for over 79% of skin cancer fatalities. Over the past 30 years, the prevalence rate of melanoma skin cancer has increased significantly. In the US, 125,650 new melanoma cases are anticipated to be diagnosed in 2025, while 8950 people are anticipated to pass away from the disease[1]. Melanocytes are the cell layer that is impacted by melanoma. It may be further split into benign and malignant categories depending on the aggressiveness of the tumor cells. A mole or mark that doesn’t contain malignant cells is referred to as a benign skin lesion. Treatment is required right away for malignant lesions since they contain a lot of cancer cells.

References

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