Medical Image Denoising

5 papers with code • 3 benchmarks • 1 datasets


Most implemented papers

Medical image denoising using convolutional denoising autoencoders

adam-mah/Medical-Image-Denoising 16 Aug 2016

Image denoising is an important pre-processing step in medical image analysis.

Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior

mlaves/uncertainty-deep-image-prior 20 Aug 2020

We use a randomly initialized convolutional network as parameterization of the reconstructed image and perform gradient descent to match the observation, which is known as deep image prior.

Learning Medical Image Denoising with Deep Dynamic Residual Attention Network

sharif-apu/MID-DRAN 9 Dec 2020

Image denoising performs a prominent role in medical image analysis.

Transformers in Medical Imaging: A Survey

fahadshamshad/awesome-transformers-in-medical-imaging 24 Jan 2022

Following unprecedented success on the natural language tasks, Transformers have been successfully applied to several computer vision problems, achieving state-of-the-art results and prompting researchers to reconsider the supremacy of convolutional neural networks (CNNs) as {de facto} operators.

Adversarial Distortion Learning for Medical Image Denoising

mogvision/adl 29 Apr 2022

The proposed ADL consists of two auto-encoders: a denoiser and a discriminator.