Automatic Diagnosis of Skin Cancer Using Neural Networks
| Autor: | Dan Popescu, Loretta Ichim, Serban Radu Stefan Jianu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Artificial neural network
Computer science business.industry Melanoma ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Pattern recognition 02 engineering and technology medicine.disease Convolutional neural network 030218 nuclear medicine & medical imaging 03 medical and health sciences ComputingMethodologies_PATTERNRECOGNITION 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering medicine Artificial intelligence Skin cancer business Skin lesion Melanoma diagnosis |
| Zdroj: | 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE). |
| DOI: | 10.1109/atee.2019.8724938 |
| Popis: | The paper presents an automated classification system for melanoma diagnosis. It is based on a convolutional neural network that is fed with images of skin lesions which are preprocessed in advance. The preprocess step is necessary for reducing the number of artifacts present in the images and hence, maximize the classification accuracy. The proposed solution is based on the training of the neural network with a series of preprocessed clinical images, classifying them in two categories: benign or malignant. |
| Databáze: | OpenAIRE |
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