Abstract
Melanoma is one of the most dangerous skin cancers in the world. It accounts for 55% of all deaths associated with skin cancer. Researchers believe that skin cancer increases the risk of other cancers if not diagnosed early. Therefore, prompt and timely diagnosis of this disease is very important for the successful treatment of the patient. This system can detect melanoma lethal carcinoma from other skin lesions without the need for surgery, with a low cost, accuracy of about 98.88% and specificity 99%. In this article, a new, intelligent and accurate software (Delphi) system has been used to diagnose melanoma skin cancer. To detect malignant melanoma, the ABCDT rule, asymmetry (A), boundary (B), color (C), diameter (D) and textural variation (T) of the lesion are calculated and finally, an artificial neural network (ANN) is used to obtain an accurate result. The ANN with Multi-Layer Perceptron (MLP) contains the five extraction Characteristics (ABCDT) of lesions is used as inputs, two hidden layers, and two outputs. Very good results were obtained using this method. It was observed that for a dataset of 180 dermoscopic lesion images including 80 malignant melanomas, 20 benign melanomas and 80 nevus lesions. Due to its automatic recognition and ability to be installed on a computer, this system can be very useful for dermatologists as well as the general public.
Highlights
Skin cancer has become very popular these days
There are no effective treatments for metastatic melanoma [5], and has grown rapidly over the past 30 years [6]
Melanoma is the most common skin disease that can lead to death [7], which often begins with malignant pigment cell tumors that cause more than 70% of deaths in patients with skin cancer [8,9]
Summary
Melanoma is caused by genetic mutations in the pigment-producing cells called melanocytes [1] Melanoma affects mostly both sexes of the Caucasian population [2], and the prognosis of the disease becomes very poor at the metastatic stage [3,4]. Melanoma is the most common skin disease that can lead to death [7], which often begins with malignant pigment cell tumors that cause more than 70% of deaths in patients with skin cancer [8,9]. A method for early detection of melanoma is very useful and valuable [10,11] so that dermatologists can use this system to diagnose skin lesions with high accuracy.
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