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Tutorial on the use of deep learning in diffuse optical tomography
Diffuse optical tomography using deep learning is an emerging technology that has found
impressive medical diagnostic applications. However, creating an optical imaging system …
impressive medical diagnostic applications. However, creating an optical imaging system …
Reconstruction and localization of tumors in breast optical imaging via convolution neural network based on batch normalization layers
N Murad, MC Pan, YF Hsu - IEEE Access, 2022 - ieeexplore.ieee.org
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 …
property images of tissue and identify and localize breast tumors. This study has developed …
Machine learning diffuse optical tomography using extreme gradient boosting and genetic programming
Diffuse optical tomography (DOT) is a non-invasive method for detecting breast cancer;
however, it struggles to produce high-quality images due to the complexity of scattered light …
however, it struggles to produce high-quality images due to the complexity of scattered light …
Regression-based neural network for improving image reconstruction in diffuse optical tomography
Diffuse optical tomography (DOT) is a non-invasive imaging technique utilizing multi-
scattered light at visible and infrared wavelengths to detect anomalies in tissues. However …
scattered light at visible and infrared wavelengths to detect anomalies in tissues. However …
[SITAT][C] Machine Learning Diffuse Optical Tomography Using Extreme Gradient Boosting and Genetic Programming. Bioengineering 2023, 10, 382
A Hauptman, GM Balasubramaniam, S Arnon - 2023 - europepmc.org
Diffuse optical tomography (DOT) is a non-invasive method for detecting breast cancer;
however, it struggles to produce high-quality images due to the complexity of scattered light …
however, it struggles to produce high-quality images due to the complexity of scattered light …