An Approach for Training Data Enrichment and Batch Labeling in AI+MRI Aided Diagnosis

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...

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Bibliographic Details
Main Authors: WANG Hong-zhi, ZHAO Di, YANG Li-qin, XIA Tian, ZHOU Xiao-yue, MIAO Zhi-ying
Format: Article
Language:zho
Published: Science Press 2018-12-01
Series:Chinese Journal of Magnetic Resonance
Subjects:
artificial intelligence (AI)
magnetic resonance imaging (MRI)
training data enrichment
batch labeling
image aided diagnosis
Online Access:http://html.rhhz.net/bpxzz/html/20180405.htm

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