Self|supervised deep image restoration for x|ray computed ...

Self-supervised deep image restoration for x-ray computed ...

X-ray computed laminographic tomography (CLT) is a viable tool for creating high-throughput volumetric imaging of large, planar samples.

Self-supervised deep image restoration for x-ray ... - SPIE digital library

X-ray computed laminographic tomography (CLT) is a viable tool for creating high-throughput volumetric imaging of large, planar samples. In ...

Self-supervised deep image restoration for x-ray computed ...

Download Citation | On Oct 18, 2024, Shiqi Xu and others published Self-supervised deep image restoration for x-ray computed laminographic ...

A Self-Supervised Approach to Reconstruction in Sparse X-Ray ...

From the projection images created by parallel beams at each rotation, a 3-dimensional object can be reconstructed with a computational algorithm. Imaging at ...

Self-supervised deep image restoration for x-ray ... - Yubetsu Shibata

Self-supervised deep image restoration for x-ray computed laminographic tomography. Shiqi Xu. Susan Candell. Tom Case. Aksel Goehnermeier.

A Self-Supervised Approach to Reconstruction in Sparse X-Ray ...

Computed tomography has propelled scientific advances in fields from biology to materials science. This technology allows for the elucidation of ...

Deep Learning Image Reconstruction for CT: Technical Principles ...

Convolutional neural network based metal artifact reduction in x-ray computed tomography . IEEE Trans Med Imaging 2018. ; 37 ( 6 ): 1370 – 1381 . [PMC free ...

Self-supervised deep learning for joint 3D low-dose PET/CT image ...

Semi-supervised learned sinogram restoration network for low-dose CT image reconstruction ... X-ray computed tomography (CT) plays a crucial role in modern ...

Chest X-Ray Pre-trained Model via Self-supervised Contrastive ...

Training deep learning models on medical images heavily depends on experts' expensive and laborious manual labels. In addition, these images ...

Masked Cross-domain Self-supervised Deep Learning Framework ...

... image reconstruction is crucial for photoacoustic (PA) computed tomography (PACT). Recently, deep learning has been used to reconstruct PA ...

Self-supervised learning of hologram reconstruction using physics ...

In addition, we compared GedankenNet image reconstruction results against deep image ... x and y are two-dimensional coordinates of the image ...

Self-Supervised Deep Image Restoration via Adaptive Stochastic ...

For example, image restoration in digital pho- tography, compressed sensing, computed tomography (CT), and magnetic resonance imaging (MRI) in medical imag- ing ...

Self-Supervised Deep Learning for Image Reconstruction

Then the MMSE estimator for x can be computed via ... Sparse-view CT image reconstruction. X-ray CT imaging is an important application in medical imaging.

Unsupervised Physics-Inspired Deep Learning Network with ...

Medical image restoration, in particular X-ray computed tomography, remains, to date, an open challenge. A trade-off between the X-ray doses and the image ...

Self‐supervised denoising of projection data for low‐dose cone ...

1 INTRODUCTION. Cone-beam computed tomography (CBCT) is an x-ray imaging technique that offers three-dimensional (3D) volumetric images from two ...

A Deep Learning Model with Self-Supervised Learning and ... - MDPI

The chest X-ray and computed ... Identification of COVID-19 samples from chest X-ray images using deep learning: A comparison of transfer learning approaches.

A review on Deep Learning approaches for low-dose Computed ...

Overview of LDCT restoration. LDCT imaging. CT scan is an X-ray procedure that creates 2D or 3D cross-sectional images with the help of computer ...

Restoration of X-ray phase-contrast imaging based on generative ...

Limited-angle computed tomography with deep image and physics priors. Article Open access 06 September 2021. Introduction. Since the discovery ...

Self-supervised Learning for Medical Image Restoration

The recent applications of artificial intelligence (AI) within the realm of medical imaging, especially in computed tomography, present a promising avenue for ...

Analyzing the Sample Complexity of Self-Supervised Image ...

“Plug-and-Play Image. Restoration with Deep Denoiser Prior”. In: IEEE ... Similar work has been done in other fields including computer vision [47] and natural ...