Medical Image Retrieval
11 papers with code • 1 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Medical Image Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
BreakHis
BreastDICOM4
BreastRates4
Latest papers with no code
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
The burgeoning integration of 3D medical imaging into healthcare has led to a substantial increase in the workload of medical professionals.
Medical Image Retrieval Using Pretrained Embeddings
A wide range of imaging techniques and data formats available for medical images make accurate retrieval from image databases challenging.
Rotation-Agnostic Image Representation Learning for Digital Pathology
This paper addresses complex challenges in histopathological image analysis through three key contributions.
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach
UCBMIR outperformed previous studies, achieving a top 5 recall of 99% and 80% on BreaKHis and SICAPv2, respectively, using the first evaluation technique.
Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query
We introduce a novel Region-based contrastive pretraining for Medical Image Retrieval (RegionMIR) that demonstrates the feasibility of medical image retrieval with similar anatomical regions.
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval
The study shows that the FedCBMIR method increases the F1-Score (F1S) of each client to 98%, 96%, 94%, and 97% in the BreaKHis experiment with a generalized model of four magnifications and does so in 6. 30 hours less time than total local training.
Multimorbidity Content-Based Medical Image Retrieval Using Proxies
Medical imaging data, such as radiology images, are often multimorbidity; a single sample may have more than one pathology present.
Content-Based Medical Image Retrieval with Opponent Class Adaptive Margin Loss
Broadspread use of medical imaging devices with digital storage has paved the way for curation of substantial data repositories.
Searching for Pneumothorax in Half a Million Chest X-Ray Images
To the best of knowledge, it is the first study to demonstrate that deep pretrained features can be used for CBIR of pneumothorax in half a million chest X-ray images.
A Bag of Visual Words Model for Medical Image Retrieval
Medical Image Retrieval is a challenging field in Visual information retrieval, due to the multi-dimensional and multi-modal context of the underlying content.
