DenseNet-based transfer learning for LV shape Classification: Introducing a novel information fusion and data augmentation using statistical Shape/Color modeling

Expert Systems with Applications(2023)

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摘要
•To suggest extracting PPVs from 3D surface points suitable for feeding into CNNs.•To fuse information by assigning additional 3D/3D + t information in color to PPVs.•To introduce a novel data augmentation method via statistical shape/color modeling.•To adopt DenseNet model as a backbone structure for MI shape screening through TL.•To study various fine-tuning strategies to define an optimal one for MI detection.
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关键词
Transfer learning,Deep convolutional neural network,Feature fusion,Data augmentation,Statistical shape modeling,Myocardial infarction,Fine-tuning
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