An Approach for Training Data Enrichment and Batch Labeling in AI+MRI Aided Diagnosis
Training data enrichment is a key factor in artificial intelligence (AI) technology development. At present, the bottleneck problem is that the quantity and type of labeled training data in valid samples are unable to meet the requirements of AI+MRI aided diagnosis. In this paper, an effective appro...
Main Authors: | , , , , , |
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Format: | Article |
Language: | zho |
Published: |
Science Press
2018-12-01
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Series: | Chinese Journal of Magnetic Resonance |
Subjects: | |
Online Access: | http://html.rhhz.net/bpxzz/html/20180405.htm |