Abstract: Humans are prone to skin cancer, which is one of the most common forms of cancer. The Cause of skin cancer is the uncontrollable mutation in DNA that could occur due to many reasons. An important factor in increasing the chance of success is identifying the cancer in the early stages. Now a days, computer aided diagnosis applications are used almost at every field. It is majorly used areas in health sector. Data from sick people is stored in computers to create biomedical datasets.. The goal of our Project is to obtain an effective and sustainable way for early diagnosis of skin cancer by classifying our dataset images as benign or malignant. The dataset used in the project consists of 660 test images along with 2437 training images.
Keywords: Skin Cancer Detection, Artificial Intelligence, Healthcare, Image processing, Convolutional Neural Networks, VGG16, InceptionV3, Deep Learning, MobileNetV2, EfficientNet.
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DOI:
10.17148/IJARCCE.2022.114147
