Convolutional neural network for breast cancer diagnosis using diffuse optical tomography

Convolutional neural network for breast cancer diagnosis using diffuse optical tomography

We have developed a computer-aided diagnosis system based on a convolutional neural network that aims to classify breast mass lesions in optical tomographic images obtained using a diffuse optical tomography system, which is suitable for repeated measurements in mass screening. Sixty-three optical t...

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Bibliographic Details
Main Authors: Jiang, H. (Author), Wang, X. (Author), Xu, Q. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media B.V. 2019
Subjects:
Breast cancer
Breast Cancer
Breast cancer diagnosis
Breast mass
Classification (of information)
Computer aided diagnosis
Computer aided diagnosis systems
Convolution
Convolutional neural network
Diffuse optical tomography
Diseases
Image classification
Images classification
Machine learning
Mass lesion
Medical imaging
Neural networks
Optical tomographic images
Optical tomography
Tomography system
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