Browse State-of-the-Art › Medical Image Enhancement
Medical Image Enhancement
9 papers with code · 3 benchmarks · 4 datasets archive 2025-07-28
Aims to improve the perceptual quality of low-quality medical images
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Brain Tumor MRI Dataset (1 row) | DPE | Deep Perceptual Enhancement for Medical Image Analysis | code | — | Compare |
| Human Protein Atlas Image (1 row) | DPE | Deep Perceptual Enhancement for Medical Image Analysis | code | — | Compare |
| LoDoPaB-CT (1 row) | FTUPGD | Enhanced Low-Dose CT Image Reconstruction by Domain and Task... | — | — | Compare |
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
4 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
9 shown of 9 papers with code (18 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.
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9 Jun 2022 3 repositories listedIn this paper, to circumvent the strict deployment requirement, a structure-consistent restoration network (SCR-Net) for cataract fundus images is developed from synthesized data that shares an identical structure.
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11 Mar 2025 1 repository listedAdditionally, the proposed method can drastically improve the medical image analysis tasks' performance and reveal the potentiality of such an enhancement method in real-world applications.
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2 Oct 2024 1 repository listedHowever, the resulting trade-offs degrade image quality, limiting clinical acceptability.
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18 Dec 2023 1 repository listedThese images are compared with paired images acquired from high resolution devices to demonstrate the model's ability to generate realistic high-quality images across organ systems.
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3 Dec 2023 1 repository listedAdditionally, a pseudo-label picker is developed to boost the knowledge distillation of enhancement tasks.
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4 Apr 2023 1 repository listedIn this study, we propose a framework for practical unsupervised medical image enhancement that includes (1) a non-reference objective evaluation of structure preservation for medical image enhancement tasks called…
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15 Mar 2023 1 repository listedDiffusion models have become a popular approach for image generation and reconstruction due to their numerous advantages.
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1 Oct 2022 1 repository listedAdditionally, the proposed method can drastically improve the medical image analysis tasks’ performance and reveal the potentiality of such an enhancement method in real-world applications.
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29 Mar 2022 1 repository listedComprehensive experiments on the T2 modality of BraTS demonstrate that the proposed method substantially outperforms the state-of-the-art methods.
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