Browse State-of-the-Art › Medical Image Retrieval
Medical Image Retrieval
15 papers with code · 1 benchmark · 3 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 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 |
|---|---|---|---|---|---|
| BreakHis (1 row) | CNN AutoEncoder | CNN Based Autoencoder Application in Breast Cancer Image Retrieval | code | — | 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
3 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.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
15 shown of 15 papers with code (43 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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7 Apr 2020 8 repositories listedThis paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening.
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29 Apr 2022 4 repositories listedComputer-assisted systems are becoming broadly used in medicine.
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14 Sep 2024 2 repositories listedOur results show that, overall, for the 2D datasets, foundation models deliver superior performance by a large margin compared to CNNs, with the general-purpose self-supervised model for computational pathology (UNI)…
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11 Jul 2025 1 repository listedMedical image retrieval is a valuable field for supporting clinical decision-making, yet current methods primarily support 2D images and require fully annotated queries, limiting clinical flexibility.
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15 Jan 2025 1 repository listedFoundation models (FMs) have shown transformative potential in radiology by performing diverse, complex tasks across imaging modalities.
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9 Oct 2024 1 repository listedFurthermore, MedImageInsight achieves human expert performance in bone age estimation (on both public and partner data), as well as AUC above 0.
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11 Mar 2024 1 repository listedDespite these challenges, our research underscores the vast potential of foundation models for CBIR in radiology, proposing a shift towards versatile, general-purpose medical image retrieval systems that do not require…
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23 Nov 2023 1 repository listedThe increasing use of medical imaging in healthcare settings presents a significant challenge due to the increasing workload for radiologists, yet it also offers opportunity for enhancing healthcare outcomes if…
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7 Mar 2023 1 repository listedAs a result, our SBMIR system enabled users to overcome previous challenges, including image retrieval based on fine-grained image characteristics, image retrieval without example images, and image retrieval for…
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5 Oct 2022 1 repository listedWe extensively tested the proposed NNS approach and compared the performance with state-of-the-art NNS approaches on benchmark datasets and our created medical image datasets.
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31 Oct 2021 1 repository listedTorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models.
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4 Aug 2021 1 repository listedOverall, the results of image retrieval in breast cancer applying the CNN based Autoencoder method achieved higher performance compared to the method used in the previous study with an average precision of 0.
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29 Jan 2021 1 repository listedThe triplet cross-entropy loss can help to map the classification information of images and similarity between images into the hash codes.
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24 Mar 2017 1 repository listedThe learned features and the classification results are used to retrieve medical images.
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19 May 2015 1 repository listedThis paper proposes to generate and to use barcodes to annotate medical images and/or their regions of interest such as organs, tumors and tissue types.
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