NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns

Medical Image Analysis(2022)

引用 4|浏览19
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摘要
•This is the first attempt to utilize the topology-preserving transfer to differentiate cortical folds (sulci, 2HGs and 3HGs gyri).•Extensive experiments obtain consistent high performance in the two ASD datasets.•NAS-optimized network architecture obtains a higher accuracy over the baseline, extending the application of NAS.•Classification results demonstrate that the differences across individuals increase with age.
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关键词
Neural architecture search,Topology-preserving transfer,Cortical folding,Autism spectrum disorder,Deep learning
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