Leveraging the crowd for annotation of retinal images
Medical data presents a number of challenges. It tends to be unstructured, noisy and protected. To train algorithms to understand medical images, doctors can label the condition associated with a particular image, but obtaining enough labels can be difficult. We propose an annotation approach which...
Main Authors: | , , , |
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Other Authors: | , |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2017-07-07T20:35:57Z.
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Subjects: | |
Online Access: | Get fulltext |