DIR‐DBTnet: Deep iterative reconstruction network for three‐dimensional digital breast tomosynthesis imaging
T Su, X Deng, J Yang, Z Wang, S Fang… - Medical …, 2021 - Wiley Online Library
Purpose The goal of this study is to develop a three‐dimensional (3D) iterative
reconstruction framework based on the deep learning (DL) technique to improve the digital …
reconstruction framework based on the deep learning (DL) technique to improve the digital …
Chest tomosynthesis deblurring using CNN with deconvolution layer for vertebrae segmentation
Y Choi, H Jang, J Baek - Medical physics, 2023 - Wiley Online Library
Background Limited scan angles cause severe distortions and artifacts in reconstructed
tomosynthesis images when the Feldkamp‐Davis‐Kress (FDK) algorithm is used for the …
tomosynthesis images when the Feldkamp‐Davis‐Kress (FDK) algorithm is used for the …
New reconstruction methodology for chest tomosynthesis based on deep learning
CF Del Cerro, A Galán, JG Blas… - … on Image Formation …, 2022 - spiedigitallibrary.org
Tomosynthesis offers an alternative to planar radiography providing pseudo-tomographic
information at a much lower radiation dose than CT. The fact that it cannot convey …
information at a much lower radiation dose than CT. The fact that it cannot convey …