3d reconstruction from 2d images deep learning

What is deep learning image reconstruction?
In the past 5 years, deep learning reconstruction (DLR) techniques have become increasingly popular.
DLR uses artificial intelligence to reconstruct high-quality images from lower-dose CT faster than MBIR.
However, the performance of DLR algorithms relies on the quality of data used for model training._{31 jan. 2023}
What is image reconstruction from series of projection?
Image Reconstruction from projection is a special class of image restoration problem.
Where a 2D object is reconstructed from several 1D projections.
Each projection is obtained by projecting a parallel x-rays (or other penetrating radiation) beam through the object.
What is image reconstruction technique?
Image reconstruction in CT is a mathematical process that generates tomographic images from X-ray projection data acquired at many different angles around the patient.
The shape of input data is expected by neural networks, which is specified by the network's architecture.
To match this expected shape, the input data must be reshaped.
This is required because the network makes assumptions about the data it will receive as input, which are built into the network's architecture.

Abstract—This paper proposes a deep learning architecture that attains statistically significant improvements over traditional algorithms in Poisson image Autres questions

PDF	Image-based 3D Object Reconstruction: State-of-the-Art and Trends 1 nov. 2019 Recovering the lost dimension from just 2D images has been the goal of classic ... various deep learning-based 3D reconstruction algorithms.

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PDF	3D Reconstruction from a Single RGB Image using Deep Learning 2 août 2022 Keywords: deep learning; 3D reconstruction; convolutional neural networks; ... to reconstruct 3D scenes from 2D images in different ways.

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