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Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Physics in Medicine and Biology

Apr 5, 2018

Ravi K SamalaKenny Cha

Abstract

Deep learning models are highly parameterized, resulting in difficulty in inference and transfer learning for image recognition tasks. In this work, we propose a layered pathway evolution method to compress a deep convolutional neural network (DCNN) for classification of masses in digit...read more

Mentioned in this Paper

Biochemical Pathway
Biological Neural Networks
Genetic Programming
Anatomical Layer
Classification
Digital Breast Tomosynthesis
Neurons
Cross Validation
Dialectical Behavior Therapy
Breast Diseases
1
29
Paper Details
References
  • References9
  • Citations5
1

Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Physics in Medicine and Biology

Apr 5, 2018

Ravi K SamalaKenny Cha

PMID: 29616660

DOI: 10.1088/1361-6560/aabb5b

Abstract

Deep learning models are highly parameterized, resulting in difficulty in inference and transfer learning for image recognition tasks. In this work, we propose a layered pathway evolution method to compress a deep convolutional neural network (DCNN) for classification of masses in digit...read more

Mentioned in this Paper

Biochemical Pathway
Biological Neural Networks
Genetic Programming
Anatomical Layer
Classification
Digital Breast Tomosynthesis
Neurons
Cross Validation
Dialectical Behavior Therapy
Breast Diseases
1
29

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Paper Details
References
  • References9
  • Citations5
1
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