Skin Lesions Classification Into Eight Classes for ISIC 2019 Using Deep Convolutional Neural Network and Transfer Learning

Mohamed A Kassem,Mohamed M Fouad,Khalid M Hosny

doi:10.1109/access.2020.3003890

Mohamed A Kassem, Mohamed M Fouad + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.3003890

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Abstract

Melanoma is a type of skin cancer with a high mortality rate. The different types of skin lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of the skin lesions in their early stages enables dermatologists to treat the patients and save their lives. This paper proposes a model for a highly accurate classification of skin lesions. The proposed model utilized the transfer learning and pre-trained model with GoogleNet. The model parameters are used as initial values, and then these parameters will be modified through training. The latest well-known public challenge dataset, ISIC 2019, is used to test the ability of the proposed model to classify different kinds of skin lesions. The proposed model successfully classified the eight different classes of skin lesions, namely, melanoma, melanocytic nevus, basal cell carcinoma, actinic keratosis, benign keratosis, dermatofibroma, vascular lesion, and Squamous cell carcinoma. The achieved classification accuracy, sensitivity, specificity, and precision percentages are 94.92%, 79.8%, 97%, and 80.36%, respectively. The proposed model can detect images that do not belong to any one of the eight classes where these images are classified as unknown images.

Highlights

In 2018 [1], the WHO reported that there are more than 14 million new cancer patients and more than 9.6 million deaths over the world because of cancer
Melanoma is a well-known kind of skin cancer, which usually is the most malignant lesion compared to other skin lesions types [6], [7]
Automatic computer-aided systems for accurate classification of skin lesions are beneficial to saving human life

Summary

Introduction

In 2018 [1], the WHO reported that there are more than 14 million new cancer patients and more than 9.6 million deaths over the world because of cancer. These statistics show that cancer is the leading cause of human death [2], [3]. Skin cancer is one of the significant contributors to the cause of death over the world [5]. Melanoma is one of the fastest spreading skin cancers where recent studies show that the number of skin cancer patients increased year by year [8], [9].

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Conclusion