Skin Lesion Analysis Toward Melanoma Detection Using Deep Learning Techniques

In the last few years, a great attention was paid to deep learning Techniques used for image analysis because of their ability use machine techniques transform input data into high level presentation. For sake accurate diagnosis, medical field has steadily growing interest in such technology especially diagnosis melanoma. These networks work through making coarse segmentation, conventional filters and pooling layers. However, this segmentation skin lesions results lower resolution than original image. paper, we present based approaches solve problems lesion using dermoscopic containing tumor. The proposed models are trained evaluated on standard benchmark datasets from International Skin Imaging Collaboration (ISIC) 2018 Challenge. method achieves an accuracy 96.67% validation set .The experimental tests carried out clinical dataset show that classification performance learning-based features performs better state-of-the-art