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Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems

Sep 20, 2019

Yao ZhouZhang Yi

Abstract

Biomedical image segmentation is lately dominated by deep neural networks (DNNs) due to their surpassing expert-level performance. However, the existing DNN models for biomedical image segmentation are generally highly parameterized, which severely impede their deployment on real-time p...read more

Mentioned in this Paper

Study
Biological Neural Networks
Neuronal Cell Body Membrane
Operator of Medical Device
Specimen Type - Filter
Depth
Household Ventilator
Compression Procedure
Diagnostic Imaging
Biological Evolution

Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems

Sep 20, 2019

Yao ZhouZhang Yi

PMID: 31536016

DOI: 10.1109/tnnls.2019.2933879

Abstract

Biomedical image segmentation is lately dominated by deep neural networks (DNNs) due to their surpassing expert-level performance. However, the existing DNN models for biomedical image segmentation are generally highly parameterized, which severely impede their deployment on real-time p...read more

Mentioned in this Paper

Study
Biological Neural Networks
Neuronal Cell Body Membrane
Operator of Medical Device
Specimen Type - Filter
Depth
Household Ventilator
Compression Procedure
Diagnostic Imaging
Biological Evolution

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