Medical image classification based on a generative adversarial network trained discriminator
Mechanisms are provided to implement a generative adver sarial network (GAN). A
discriminator of the GAN is configured to discriminate input medical images into a plurality of …
discriminator of the GAN is configured to discriminate input medical images into a plurality of …
Protocol independent image processing with adversarial networks
Systems and methods are provided for generating a protocol independent image. A deep
learning generative framework learns to recognize the boundaries and classification of …
learning generative framework learns to recognize the boundaries and classification of …
Deep learning based estimation of data for use in tomographic reconstruction
BKB De Man, BEH Claus, J Hsieh, Y **… - US Patent …, 2021 - Google Patents
A method relates to the use of deep learning techniques, which may be implemented using
trained neural networks (50), to estimate various types of missing projection or other …
trained neural networks (50), to estimate various types of missing projection or other …
Image generation using machine learning
JB Thibault, S Srivastava, J Hsieh… - US Patent …, 2021 - Google Patents
The present approach relates to the training of a machine learning algorithm for image
generation and use of such a trained algorithm for image generation. Training the machine …
generation and use of such a trained algorithm for image generation. Training the machine …
Method for performing magnetic resonance imaging reconstruction with unsupervised deep learning
A method for magnetic resonance imaging performs unsupervised training of a deep neural
network of an MRI apparatus using a training set of under-sampled MRI scans, where each …
network of an MRI apparatus using a training set of under-sampled MRI scans, where each …
Determining a two-dimensional mammography dataset
O Pauly - US Patent 10,702,233, 2020 - Google Patents
A method is for determining a two-dimensional mammography dataset. The method includes
the receipt of a three-dimensional mammography dataset of an examination region via an …
the receipt of a three-dimensional mammography dataset of an examination region via an …
Systems, methods, and/or media, for selecting candidates for annotation for use in training a classifier
J Liang, Z Zhou, J Shin - US Patent 12,118,455, 2024 - Google Patents
Abstract Systems for selecting candidates for labelling and use in training a convolutional
neural network (CNN) are provided, the systems comprising: a memory device; and at least …
neural network (CNN) are provided, the systems comprising: a memory device; and at least …
Machine-learned network for Fourier transform in reconstruction for medical imaging
For low-complexity to learned reconstruction and/or learned Fourier transform-based
operators for reconstruction, a neural network is used for the transform operators. The …
operators for reconstruction, a neural network is used for the transform operators. The …
Apparatus and method for medical image denoising based on deep learning
HS Park, JH Kim - US Patent 10,891,762, 2021 - Google Patents
BACKGROUND Furthermore, the present disclosure provides an apparatus 10 and method
for CT image denoising based on deep learning, A computed tomography (CT) scan …
for CT image denoising based on deep learning, A computed tomography (CT) scan …
3-D convolutional autoencoder for low-dose CT via transfer learning from a 2-D trained network
US11580410B2 - 3-D convolutional autoencoder for low-dose CT via transfer learning from a
2-D trained network - Google Patents US11580410B2 - 3-D convolutional autoencoder for …
2-D trained network - Google Patents US11580410B2 - 3-D convolutional autoencoder for …