Duplicate from MedOtter/BUSI

Co-authored-by: Tianyu Luan <tyluan@users.noreply.huggingface.co>

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+*.pcm filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - image-segmentation
+tags:
+  - medical
+  - ultrasound
+  - breast
+  - segmentation
+  - busi
+size_categories:
+  - n<1K
+---
+
+# BUSI — Breast Ultrasound Images Dataset
+
+Re-hosted mirror of the Breast Ultrasound Images Dataset (Al-Dhabyani et al., 2020),
+collected at Baheya Hospital, Cairo, Egypt and originally distributed via the
+Cairo University Scholar page of co-author Aly Fahmy.
+
+This mirror is intended for use with [EasyMedSeg](https://github.com/) and provides:
+
+- A single canonical source (the original Cairo Univ. URL has unstable TLS).
+- Parquet schema with one row per image and a single binary mask.
+- For images with multifocal lesions, the multiple `_mask_N.png` files in the
+  original release are merged into one binary mask via per-pixel logical OR
+  (the convention adopted by the paper and by BUS-Set / Thomas et al. 2023).
+
+## Composition
+
+| Class       | Images | Multifocal cases |
+|-------------|-------:|-----------------:|
+| benign      | 437    | 16               |
+| malignant   | 210    | 1                |
+| normal      | 133    | 0                |
+| **Total**   | **780**| **17**           |
+
+Image dimensions are variable (~190–719 px, average ~500×500 px). Source release
+is from 2018; 600 female patients, ages 25–75; GE LOGIQ E9 / E9 Agile B-mode.
+
+## Splits
+
+BUSI has **no official train/val/test split**. This release ships a single
+`train` split. Downstream code is expected to define its own splits
+(BUS-Set provides reproducible ones).
+
+## Schema
+
+| Column                   | Type      | Description                                                |
+|--------------------------|-----------|------------------------------------------------------------|
+| `image`                  | `Image`   | Source PNG (RGB)                                           |
+| `mask`                   | `Image`   | Binary mask (`L` mode, 0/255) — OR-merged across all mask files |
+| `class_label`            | `string`  | `"benign"` / `"malignant"` / `"normal"`                    |
+| `image_id`               | `string`  | e.g., `"benign (100)"`                                     |
+| `has_multifocal_lesion`  | `bool`    | `True` if the source had >1 mask file                      |
+
+## Known data-quality caveats
+
+Per Pawłowska et al. (2023, *Data in Brief*, [PMC10293973](https://pmc.ncbi.nlm.nih.gov/articles/PMC10293973/)):
+- ~235 duplicated images (~19%); 8 lesions appear in both benign and malignant folders (label leakage).
+- ~70 axilla (non-breast) images mis-categorized as breast.
+- 295 images with overlaid annotations (calipers, doppler markers, text) intersecting the lesion ROI.
+- ≥7 images contain a visible biopsy needle.
+
+This mirror **does not modify** the source files (other than mask merging) — the
+above issues are inherited as-is. Cite Pawłowska et al. when reporting cleanups.
+
+## Citation
+
+```bibtex
+@article{Aldhabyani2020BUSI,
+  title   = {Dataset of breast ultrasound images},
+  author  = {Al-Dhabyani, Walid and Gomaa, Mohammed and Khaled, Hussein and Fahmy, Aly},
+  journal = {Data in Brief},
+  volume  = {28},
+  pages   = {104863},
+  year    = {2020},
+  doi     = {10.1016/j.dib.2019.104863}
+}
+```
+
+<!-- licence section rendered from the MedOtter card, 2026-09-06 -->
+## License
+
+**CC BY 4.0**
+
+Redistribution and commercial use are permitted under the terms below.
+
+Source of the terms: https://pmc.ncbi.nlm.nih.gov/articles/PMC6906728/
+
+Audit note (verbatim from the MedOtter dataset card):
+
+> Primary source (Data in Brief 2020, Al-Dhabyani et al.) states "open access article under the CC BY license (creativecommons.org/licenses/by/4.0/)". CC BY permits free redistribution + commercial use with attribution. HF tag "other" should be cc-by-4.0; only gap is the tag/attribution notice.
+
+Please cite:
+
+```
+Al-Dhabyani W, Gomaa M, Khaled H, Fahmy A. Dataset of breast ultrasound images. *Data in Brief*. 2019;28:104863. doi:10.1016/j.dib.2019.104863
+```

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