| # ThyroidDataSet: A Collection of Thyroid Ultrasound Datasets | |
| This repository hosts a curated collection of thyroid ultrasound datasets for | |
| research on **segmentation**, **classification**, **detection**, and | |
| **report generation**. | |
| All datasets are provided as ZIP archives under the `data/` directory in this | |
| Hugging Face dataset: | |
| > https://huggingface.co/datasets/Doul0414/ThyroidDataSet | |
| The collection currently includes the following datasets: | |
| - TGVideo | |
| - DDTI | |
| - TN3K | |
| - 24-TMI | |
| - TN5K | |
| - ThyUS2Path | |
| - Cine-clip | |
| - AHU | |
| - ThyroidXL | |
| - PKTN | |
| - **FinalData** (an additional in-house dataset, 1,854 images) | |
| - **TN5K\_MASK\_SAM2\_L** (new, in-house processed masks for TN5K) | |
| - **VIDEO\_ImageAndMask** (new, in-house processed video frames and masks) | |
| - **VIDEO\_DATASET** (new, in-house processed video, Including ultrasound imaging video, masked video, and visualized masked ultrasound imaging video) | |
| Please always refer to the **original dataset papers and licenses** when using | |
| these data. This repository only provides a consolidated entry point for | |
| research and comparison. | |
| --- | |
| ## 1. Dataset Summary | |
| ### 1.1 Public/open datasets | |
| | Dataset | Images / Cases | Train | Test | File format | Task(s) | Location | Ultrasonic imaging device(s) | | |
| |----------------|--------------------------------------------------------|--------|-------|--------------------------------------------------------|---------------------------------------|---------------------|------------------------------------------------------| | |
| | **TGVideo** | 15,186 images (16 cases) | 15,186 | N/A | Image: DICOM; Mask: DICOM | Segmentation | Germany | GE Logiq E9 | | |
| | **DDTI** | 637 images | N/A | 637 | Image: PNG; Mask: PNG; Label: CSV | Segmentation, Classification | Colombia | TOSHIBA Nemio 30, TOSHIBA Nemio MX | | |
| | **TN3K** | 3,493 images | 2,879 | 614 | Image: JPG; Mask: JPG; Label: CSV | Segmentation, Classification | Guangzhou, China | GE Logiq E9, ARIETTA 850, RESONA 70B | | |
| | **24-TMI** | 2,460 cases (4,920 images) | 3,934 | 986 | JPEG | Report generation | Beijing, China | N/A | | |
| | **TN5K** | 5,000 images | 4,000 | 1,000 | Image: JPG; Label: XML | Detection, Classification | Beijing, China | GE Logiq E9, GE S7 | | |
| | **ThyUS2Path** | 8,508 images | 5,457 | 3,051 | Image: JPG; Label: CSV | Classification | Zhejiang, China | Esaote MyLab (Portable) | | |
| | **Cine-clip** | 17,412 frames (192 cases, avg 90 frames per case) | N/A | N/A | Image: HDF5; Label: CSV | Segmentation, Classification | California, USA | N/A | | |
| | **AHU** | 1,833 cases (125,896 images) | N/A | N/A | Image: JPG; Label: folder-level | Classification | China (web scraping)| Heterogeneous | | |
| | **ThyroidXL** | 11,635 images | 9,541 | 2,094 | Image: PNG; Mask: PNG; Label: TXT | Segmentation, Classification, Detection | Vietnam | Hitachi Aloka Arietta V70 | | |
| | **PKTN** | 1,005 images | N/A | N/A | Image: JPG; Mask: JPG | Segmentation | Beijing, China | N/A | | |
| > The ZIP files in `data/` follow the original dataset names as closely as | |
| > possible (e.g. `TGVideo.zip`, `TN3K.zip`, `ThyroidXL.zip`, `PKTN.zip`, | |
| > `Cine-clip.zip`, `24TMI.zip`, `AHU-ProcessedData.zip`, etc.). | |
| ### 1.2 FinalData (in-house dataset) | |
| - **Archive name**: `finall data.zip` | |
| - **Images**: 1,854 ultrasound images | |
| - **Tasks**: Segmentation, Classification | |
| - **Location**: China | |
| - **Ultrasonic imaging devices**: Unknown / heterogeneous | |
| --- | |
| ## 1.3 New in-house processed datasets | |
| ### 1.3.1 TN5K\_MASK\_SAM2\_L | |
| - **Archive name**: `TN5K_MASK_SAM2_L.zip` | |
| - **Source dataset**: TN5K | |
| - **Content**: Automatically generated lesion segmentation masks for the TN5K images, produced using the **SAM2**-based medical segmentation pipeline. | |
| --- | |
| ### 1.3.2 VIDEO\_DATASET AND VIDEO\_ImageAndMask | |
| - **Archive name**: `VIDEO_DATASET.zip`、`VIDEO_ImageAndMask.zip` | |
| - **Source data**: In-house thyroid ultrasound video. | |
| - **VIDEO_DATASET Content**: Including ultrasound imaging video, masked video, and visualized masked ultrasound imaging video | |
| - **VIDEO_ImageAndMask Content**: Source video frames and masks. | |
| --- | |
| ## 2. Repository Structure | |
| On Hugging Face, the dataset files are organized as: | |
| ```text | |
| ThyroidDataSet | |
| └── data/ | |
| ├── 24TMI.zip | |
| ├── AHU-ProcessedData.zip | |
| ├── Cine-clip.zip | |
| ├── DDTI dataset.zip | |
| ├── PKTN.zip | |
| ├── TGVideo.zip | |
| ├── ThyUS2Path.zip | |
| ├── ThyroidXL.zip | |
| ├── TN3K.zip | |
| ├── TN5000.zip | |
| ├── tg3k(TGVideoSubset).zip | |
| ├── finall data.zip # FinalData (in-house) | |
| ├── TN5K_MASK_SAM2_L.zip # TN5K SAM2-based lesion masks | |
| ├── VIDEO_DATASET.zip # Internal video data | |
| └── VIDEO_ImageAndMask.zip # Internal raw video frames and mask images |