[HTML][HTML] A residual dense network assisted sparse view reconstruction for breast computed tomography
To develop and investigate a deep learning approach that uses sparse-view acquisition in
dedicated breast computed tomography for radiation dose reduction, we propose a …
dedicated breast computed tomography for radiation dose reduction, we propose a …
A residual dense network assisted sparse view reconstruction for breast computed tomography
Z Fu, HW Tseng, S Vedantham, A Karellas, A Bilgin - Scientific Reports, 2020 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> To develop and investigate a deep learning
approach that uses sparse-view acquisition in dedicated breast computed tomography for …
approach that uses sparse-view acquisition in dedicated breast computed tomography for …
[HTML][HTML] A residual dense network assisted sparse view reconstruction for breast computed tomography
Z Fu, HW Tseng, S Vedantham, A Karellas… - Scientific …, 2020 - ncbi.nlm.nih.gov
To develop and investigate a deep learning approach that uses sparse-view acquisition in
dedicated breast computed tomography for radiation dose reduction, we propose a …
dedicated breast computed tomography for radiation dose reduction, we propose a …
A residual dense network assisted sparse view reconstruction for breast computed tomography
Z Fu, HW Tseng, S Vedantham, A Karellas… - Scientific …, 2020 - ui.adsabs.harvard.edu
To develop and investigate a deep learning approach that uses sparse-view acquisition in
dedicated breast computed tomography for radiation dose reduction, we propose a …
dedicated breast computed tomography for radiation dose reduction, we propose a …
A residual dense network assisted sparse view reconstruction for breast computed tomography.
Z Fu, HW Tseng, S Vedantham, A Karellas… - Scientific …, 2020 - search.ebscohost.com
To develop and investigate a deep learning approach that uses sparse-view acquisition in
dedicated breast computed tomography for radiation dose reduction, we propose a …
dedicated breast computed tomography for radiation dose reduction, we propose a …
A residual dense network assisted sparse view reconstruction for breast computed tomography
Z Fu, HW Tseng, S Vedantham… - Scientific …, 2020 - pubmed.ncbi.nlm.nih.gov
To develop and investigate a deep learning approach that uses sparse-view acquisition in
dedicated breast computed tomography for radiation dose reduction, we propose a …
dedicated breast computed tomography for radiation dose reduction, we propose a …
A residual dense network assisted sparse view reconstruction for breast computed tomography.
Z Fu, HW Tseng, S Vedantham, A Karellas… - Scientific Reports, 2020 - europepmc.org
To develop and investigate a deep learning approach that uses sparse-view acquisition in
dedicated breast computed tomography for radiation dose reduction, we propose a …
dedicated breast computed tomography for radiation dose reduction, we propose a …