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Deep Melanoma class...
Deep Melanoma classification with K-Fold Cross-Validation for Process optimization
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- Nie, Yali (författare)
- Mittuniversitetet,Institutionen för elektronikkonstruktion
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- De Santis, Laura (författare)
- University of Salerno, Dept. of Industrial Engineering, Salerno, Italy
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- Carratu, Marco (författare)
- University of Salerno, Dept. of Industrial Engineering, Salerno, Italy
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- O'Nils, Mattias, 1969- (författare)
- Mittuniversitetet,Institutionen för elektronikkonstruktion
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- Sommella, Paolo (författare)
- University of Salerno, Dept. of Industrial Engineering, Salerno, Italy
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- Lundgren, Jan, 1977- (författare)
- Mittuniversitetet,Institutionen för elektronikkonstruktion
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(creator_code:org_t)
- IEEE, 2020
- 2020
- Engelska.
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Ingår i: 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA). - : IEEE. - 9781728153865
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Deep convolution neural networks (DCNNs) enable effective methods to predict the melanoma classes otherwise found with ultrasonic extraction. However, gathering large datasets in local hospitals in Sweden can take years. Small datasets will result in models with poor accuracy and insufficient generalization ability, which has a great impact on the result. This paper proposes to use a K-Fold cross validation approach based on a DCNN algorithm working on a small sample dataset. The performance of the model is verified via a Vgg16 extracting the features. The experimental results reveal that the model built by the approach proposed in this paper can effectively achieve a better prediction and enhance the accuracy of the model, which proves that K-Fold can achieve better performance on a small skin cancer dataset.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- classification
- DCNNs
- K-Fold
- melanoma
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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