GoodBaiBai88/M3D-RefSeg
Dataset Description 3D Medical Image Referring Segmentation Dataset (M3D-RefSeg), consisting of 210 3D images, 2,778 masks, and text annotations. Dataset Introduction 3D medical segmentation is one of the main challenges in medical image analysis. In practical applications, a more meaningful task is referring segmentation, where the model can segment the corresponding region based on given text descriptions. However, referring segmentation requires… See the full description on the dataset page: https://huggingface.co/datasets/GoodBaiBai88/M3D-RefSeg.
| Author / organization | GoodBaiBai88 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 212 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 12 April 2024 |
| Last updated at source | 25 April 2024 |
Recent changes
- 16 Oct 2026 Description: Dataset Description 3D Medical Image Referring Segmentation Dataset (M3D-RefSeg), consisting of 210 3D images, 2,778 masks, and text annotations. Dataset Introduction 3D medical segmentation is one of the main challenges in medical image an → Dataset Description 3D Medical Image Referring Segmentation Dataset (M3D-RefSeg), consisting of 210 3D images, 2,778 masks, and text annotations. Dataset Introduction 3D medical segmentation is one of the main challenges in medical image an
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