Datasets:
license: other
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 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.pngfiles 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):
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.
License
The original authors do not state an explicit license on the Cairo Univ. page or in the Data in Brief paper. Treat as research use, with required citation. Kaggle uploaders have tagged copies as CC BY 4.0 (uploader-asserted, not author-confirmed). Do not assume redistribution rights beyond research.
Citation
@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}
}