| --- |
| license: mit |
| task_categories: |
| - image-classification |
| - object-detection |
| tags: |
| - medical |
| - radiology |
| - chest-x-ray |
| - eye-tracking |
| - scanpath |
| - visual-search |
| - gaze |
| language: |
| - en |
| pretty_name: GazeSearch |
| size_categories: |
| - 1K<n<10K |
| extra_gated_heading: "Access to GazeSearch requires MIMIC-CXR credentials" |
| extra_gated_description: > |
| GazeSearch includes chest X-ray images derived from **MIMIC-CXR**, which is |
| distributed under the *PhysioNet Credentialed Health Data Use Agreement*. |
| To be granted access to this dataset you must already be credentialed for |
| MIMIC-CXR on PhysioNet and agree to use the data only for the purposes |
| permitted by that agreement. |
| |
| Requests are reviewed manually. Please provide accurate information — |
| false declarations will result in revoked access. |
| extra_gated_prompt: > |
| By requesting access I confirm that I will use GazeSearch only for |
| research that complies with the PhysioNet Credentialed Health Data Use |
| Agreement for MIMIC-CXR and will not redistribute the images. |
| extra_gated_fields: |
| Full name: text |
| Affiliation / institution: text |
| Country: country |
| Intended use (short description): text |
| PhysioNet username (MIMIC-CXR credentialed): text |
| I have an active PhysioNet credentialed-access account for MIMIC-CXR: |
| type: checkbox |
| I can provide proof of MIMIC-CXR data-use authorization on request: |
| type: checkbox |
| I agree not to redistribute any part of this dataset: |
| type: checkbox |
| I agree to the PhysioNet Credentialed Health Data Use Agreement: |
| type: checkbox |
| extra_gated_button_content: "Request access" |
| --- |
| |
| # GazeSearch: Radiology Findings Search Benchmark (WACV 2025) |
|
|
| > **Access is gated.** This dataset contains images derived from |
| > **MIMIC-CXR** and is only shared with users credentialed under the |
| > *PhysioNet Credentialed Health Data Use Agreement*. Click **Request |
| > access** at the top of the page and confirm you hold an active |
| > MIMIC-CXR credentialed-access account; requests without proof of |
| > authorization will be denied. |
|
|
| GazeSearch is a curated visual search dataset for evaluating search |
| algorithms on radiology findings. It is built from medical eye-tracking |
| data (REFLACX and EGD) paired with chest X-ray images from MIMIC-CXR, and |
| captures how radiologists visually search for specific findings. |
|
|
| Paper: *GazeSearch: Radiology Findings Search Benchmark* (WACV 2025). |
| Original repository: https://github.com/uark-aicv/GazeSearch |
|
|
| ## Contents |
|
|
| ``` |
| gazesearch/ |
| ├── annotations/ |
| │ └── finding_visual_search_coco_format_train_test_filtered_max_6_split_train_valid_test_2024-07-22.json |
| ├── images/ # 3,577 chest X-ray JPGs (from MIMIC-CXR) |
| └── checkpoints/ |
| ├── ckp_29999.pt # ChestSearch model checkpoint (30k iterations) |
| ├── M2F_R50.pkl # Mask2Former ResNet-50 backbone weights |
| └── M2F_R50_MSDeformAttnPixelDecoder.pkl # MSD pixel decoder weights |
| ``` |
|
|
| ## Annotation format |
|
|
| The JSON file is a list of scanpath samples (4,875 entries over 2,328 |
| unique images). Each entry has: |
|
|
| | Field | Description | |
| | ------------- | ------------------------------------------------------------------------- | |
| | `name` | Image filename in `images/` | |
| | `subject` | Radiologist / subject ID | |
| | `task` | Target finding being searched (e.g. `lung opacity`, `cardiomegaly`, ...) | |
| | `condition` | Presence of the finding (`present`) | |
| | `bbox` | Ground-truth bounding box `[x, y, w, h]` of the finding | |
| | `X`, `Y` | Fixation coordinates (in the 224×224 patch space) | |
| | `T` | Fixation durations (seconds) | |
| | `length` | Number of fixations (max 6; add a center fixation to get length-7 paper setup) | |
| | `fixOnTarget` | Whether the scanpath ends on the target region | |
| | `correct` | Whether the radiologist's decision was correct | |
| | `split` | One of `train` (3,870) / `valid` (517) / `test` (488) | |
|
|
| ### Tasks / findings |
|
|
| `lung opacity`, `support devices`, `cardiomegaly`, `pleural effusion`, |
| `atelectasis`, `edema`, `consolidation`, `enlarged cardiomediastinum`, |
| `lung lesion`, `fracture`, `pneumonia`, `pneumothorax`, `pleural other`. |
|
|
| ## Checkpoints |
|
|
| `checkpoints/ckp_29999.pt` is the trained ChestSearch scanpath-prediction |
| baseline from the paper. `M2F_R50.pkl` and |
| `M2F_R50_MSDeformAttnPixelDecoder.pkl` are the Mask2Former ResNet-50 |
| backbone / pixel-decoder weights used to initialize training. |
|
|
| See the original repo for training/inference code and the |
| `src/demo_medical.ipynb` demo notebook. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{GazeSearch2023, |
| title={GazeSearch: Radiology Findings Search Benchmark}, |
| author={Trong Thang Pham and Tien-Phat Nguyen and Yuki Ikebe and Akash Awasthi and Zhigang Deng and Carol C. Wu and Hien Nguyen and Ngan Le}, |
| journal={IEEE Winter Conference on Applications of Computer Vision (WACV)}, |
| year={2025} |
| } |
| ``` |
|
|
| ## License |
|
|
| MIT License — Copyright (c) 2024 AICV@University of Arkansas. |
| Note that the underlying MIMIC-CXR images are subject to the PhysioNet |
| Credentialed Health Data License; only users credentialed for MIMIC-CXR |
| should use this dataset. |
|
|
