| A. Avgoustis, T. Exarchos, K.-L. Kermanidis, Ph. Mylonas |
| Applied Deep learning for categorizing dermoscopic images |
| 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2021), November 4-5, 2021 |
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ABSTRACT
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| Melanoma is a serious form of skin cancer that begins in cells known as melanocytes. While it is less common than basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), melanoma is more dangerous because of its ability to spread to other organs more rapidly if it is not treated at an early stage. The basic examination for melanoma is dermoscopy, an image modality of the skin part that is affected. In this work, we propose a new deep learning approach, based on convolutional neural networks, to classify dermoscopic images in one out of 32 categories. An existing dataset, containing 2013 images from different categories of melanoma.
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| 04 November , 2021 |
| A. Avgoustis, T. Exarchos, K.-L. Kermanidis, Ph. Mylonas, "Applied Deep learning for categorizing dermoscopic images", 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2021), November 4-5, 2021 |
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