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Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification
Background and objective: Skin cancer is among the most common cancer types in the white population and consequently computer aided methods for skin lesion classification based on dermoscopic images are of great interest. A promising approach for this uses transfer learning to adapt pre-trained conv...
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Main Authors: | , , , , , |
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Format: | Default Article |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/14236652.v1 |
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