Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning
| Autor: | Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari |
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| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science education ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Magnification Pattern recognition medicine.disease Convolutional neural network 030218 nuclear medicine & medical imaging Melanoma detection 030207 dermatology & venereal diseases 03 medical and health sciences ComputingMethodologies_PATTERNRECOGNITION 0302 clinical medicine medicine Nevus Computer vision Artificial intelligence business Transfer of learning Skin lesion |
| Zdroj: | Engineering Applications of Neural Networks ISBN: 9783319651712 EANN |
| Popis: | In this work, we report the use of convolutional neural networks for the detection of malignant melanomas against nevus skin lesions in a dataset of dermoscopic images of the same magnification. The technique of transfer learning is utilized to compensate for the limited size of the available image dataset. Results show that including transfer learning in training CNN architectures improves significantly the achieved classification results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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