Abstract
Diagnosis of melanoma (skin cancer disease) is a challenging task in medical science field due to the amount and nature of the data. Skin cancer datasets are usually comes in different format and shapes including medical images, hence, data require tremendous efforts for preprocessing before the auto-diagnostic task itself. In this work, deep learning (convolutional neural network) is used to build a computer model for predicting new cases of skin cancer. The first phase in this work is to prepare images data, this include images segmentation to find useful parts that are easier for analysis and to detect region of interest in digital images, reduce the amount of noise and image illumination, and to easily detect sharp edges (boundaries) of objects. Then, the proposed approach built a convolutional neural network model which consists of three convolution layers, three max pooling layers, and four fully connected layers. Testing the model produced promising results with accuracy of 0.74. The result encourages and motivates for future improvement and research on online diagnosing of melanoma in early stages. Therefore, a web application was built to utilize the model and provide online diagnosis of melanoma.
Highlights
Skin cancers are the most common of all cancers, where abnormal growth of skin cells with the ability to spread to neighboring cells or other parts in the body
The purpose of this paper is to explore the efficiency of using Deep Learning Neural Network in medical images, practically, skin cancers images
The available dataset was applied to the proposed model for diagnosing skin cancers using convolutional neural network
Summary
Skin cancers (lesion cancer) are the most common of all cancers, where abnormal growth of skin cells with the ability to spread to neighboring cells or other parts in the body. Skin Cancers can be categorized into three main types: Melanoma, Squamous Cell skin Cancer (SCC), and Basal Cell skin Cancer (BCC). Melanoma is the most damaging and common type of skin cancer and can appear on eyes or mouth, where SCC and BCC are less common and do not spread to other areas and unlikely to cause death, Fig. 1 shows samples of skin cancer images [1]. The main symptoms of melanoma cancer is the appearance of large brown spot, spread by other patches smaller and darker color, changes in color and size of moles in the body, or the descent of blood from them, as well as, the appearance of dark small and irregular edges lesion, usually on the hands and feet [2]. There is a tremendous need for computer application to provide rapid and initial diagnoses advice for potential skin cancer [4]
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