Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography
Digital mammography is currently the most common imaging tool for breast cancer
screening. Although the benefits of using digital mammography for cancer screening …
screening. Although the benefits of using digital mammography for cancer screening …
Noise models for virtual clinical trials of digital breast tomosynthesis
Purpose To investigate the use of an affine‐variance noise model, with correlated quantum
noise and spatially dependent quantum gain, for the simulation of noise in virtual clinical …
noise and spatially dependent quantum gain, for the simulation of noise in virtual clinical …
Modeling and estimation of signal-dependent and correlated noise
The additive white Gaussian noise (AWGN) model is ubiquitous in signal processing. This
model is often justified by central-limit theorem (CLT) arguments. However, whereas the CLT …
model is often justified by central-limit theorem (CLT) arguments. However, whereas the CLT …
基于Anscombe 变换的X 射线图像序列盲源分离降噪
沈帆， 李翰林， 孙斌， 喻春雨 - Optics and Precision Engineering, 2020 - opticsjournal.net
摘要为降低泊松噪声对X 射线图像质量的影响, 本研究提出一种采用非线性主分量分析(NLPCA)
对X 射线图像序列进行盲源分离的降噪方法. 该降噪方法首先采样一序列X 射线图像 …
对X 射线图像序列进行盲源分离的降噪方法. 该降噪方法首先采样一序列X 射线图像 …
Evaluation of denoising digital breast tomosynthesis data in both projection and image domains and a study of noise model on digital breast tomosynthesis image …
DC Scarparo, DHP Salvadeo… - Journal of Medical …, 2019 - spiedigitallibrary.org
Digital breast tomosynthesis (DBT) is an imaging technique created to visualize 3-D
mammary structures for the purpose of diagnosing breast cancer. This imaging technique is …
mammary structures for the purpose of diagnosing breast cancer. This imaging technique is …
Effect of denoising on the localization of microcalcification clusters in digital mammography
LR Borges, RF Caron… - … Workshop on Breast …, 2020 - spiedigitallibrary.org
Noise negatively impacts the detection and characterization of lesions in mammography.
While denoising filters may be used to suppress noise, they might also negatively affect the …
While denoising filters may be used to suppress noise, they might also negatively affect the …
Assessing the impact of correlated noise in digital mammography: a virtual clinical trial
In digital mammography, the physics of the acquisition system and post-processing
algorithms can cause image noise to be spatially correlated. Noise correlation is …
algorithms can cause image noise to be spatially correlated. Noise correlation is …
Assessment of training strategies for convolutional neural network to restore low-dose digital breast tomosynthesis projections
R de Barros Vimieiro, LR Borges… - … 2022: Physics of …, 2022 - spiedigitallibrary.org
We investigate the effects of training strategies, such as the dataset size, early stop and
cross-validation, on the performance of deep neural network. We used the residual network …
cross-validation, on the performance of deep neural network. We used the residual network …
Convolutional neural network to restore low-dose digital breast tomosynthesis projections in a variance stabilization domain
Digital breast tomosynthesis (DBT) exams should utilize the lowest possible radiation dose
while maintaining sufficiently good image quality for accurate medical diagnosis. In this …
while maintaining sufficiently good image quality for accurate medical diagnosis. In this …
Data-driven estimation of noise variance stabilization parameters for low-dose x-ray images
SG Hariharan, N Strobel, C Kaethner… - Physics in Medicine …, 2020 - iopscience.iop.org
Purpose. Denoising x-ray images corrupted by signal-dependent mixed noise is usually
approached either by considering noise statistics directly or by using noise variance …
approached either by considering noise statistics directly or by using noise variance …