Medical Image Denoising

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (21 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Content-Noise Complementary Learning for Medical Image Denoising
  2 Feb 2022 2 repositories listed
  In this study, we propose a simple yet effective strategy, the content-noise complementary learning (CNCL) strategy, in which two deep learning predictors are used to learn the respective content and noise of the image…
• Medical image denoising using convolutional denoising autoencoders
  16 Aug 2016 2 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Image denoising is an important pre-processing step in medical image analysis.
• Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising
  29 Nov 2024 1 repository listed
  In contrast to non-medical image denoising, where enhancing image clarity is the primary goal, medical image denoising warrants preservation of crucial features without introduction of new artifacts.
• Adversarial Distortion Learning for Medical Image Denoising
  29 Apr 2022 1 repository listed
  The proposed ADL consists of two auto-encoders: a denoiser and a discriminator.
• Transformers in Medical Imaging: A Survey
  24 Jan 2022 1 repository listed
  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…
• Learning Medical Image Denoising with Deep Dynamic Residual Attention Network
  9 Dec 2020 1 repository listed
  Image denoising performs a prominent role in medical image analysis.
• Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior
  20 Aug 2020 1 repository listed
  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.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.