May 22, 2023 · We propose a solution for the lack of suitable training data to train DNN models for denoising DBT projections, showing that we just need ...
Missing: convolutional | Show results with:convolutional
May 22, 2023 · We propose extensively investigating the use of synthetic data generated by software for training DNNs to denoise DBT real data.
In this review, we explore the ways in which deep learning can be best integrated into breast cancer screening workflows using DBT.
Apr 11, 2023 · The goal of this study is to evaluate the effects of DL-based denois- ing on radiologists' detection of MC clusters in breast phantom DBTs and, ...
This study proposes a reconstruction algorithm for DBT based on deep learning specifically optimized for these tasks.
Missing: Denoising | Show results with:Denoising
Image noise in digital breast tomosynthesis (DBT) reduces the detectability of subtle signs of breast cancer such as microcalcifications (MC).
ABSTRACT. The Digital Breast Tomosynthesis (DBT) projections are obtained with low quality. Therefore, it is essential to use denoising methods to increase ...
This paper investigates the training of deep convolutional neural networks (DCNNs) to denoise digital breast tomosynthesis (DBT) images. In our approach ...
Digital Breast Tomosynthesis (DBT) is a new technology that can help radiologists identify breast cancer more accurately. DBT method produces a series of low- ...
Missing: convolutional | Show results with:convolutional
A benchmark of denoising digital breast tomosynthesis in projection domain: neural network-based and traditional methods · 2 Citations · 30 References.