Reconstruction and Localization of Tumors in Breast Optical Imaging via Convolution Neural Network Based on Batch Normalization Layers

Reconstruction and Localization of Tumors in Breast Optical Imaging via Convolution Neural Network Based on Batch Normalization Layers

The Near-Infrared (NIR) Diffuse Optical Tomography (DOT) aims to reconstruct optical-property images of tissue and identify and localize breast tumors. This study has developed an efficient and fast DOT reconstruction method based on Deep Learning (DL) algorithm. The DL has already been applied in D...

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Bibliographic Details
Main Authors: Nazish Murad, Min-Chun Pan, Ya-Fen Hsu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Batch normalization
convolution deep neural networks
diffuse optical imaging
inverse problem
sensor to image domain
Online Access:https://ieeexplore.ieee.org/document/9781389/

Internet

https://ieeexplore.ieee.org/document/9781389/

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