以下为作者原文，图片与外部链接在院内网络不可用。

来源说明：官方 = 数据集作者/机构本人上传；完整转存 = 第三方原样转存；处理版 = 第三方子集、切片或格式转换（可能与原始数据不同）。许可以仓库声明为准，第三方转存的原始许可由工作人员下载前核对。

Figshare Brain Tumor Dataset (Cheng et al. 2015)

Brain tumor MRI dataset from Cheng et al., hosted on Figshare. 3064 T1-weighted contrast-enhanced MRI slices from 233 patients with three kinds of brain tumor:

Meningioma — 708 slices
Glioma — 1426 slices
Pituitary tumor — 930 slices

Each slice ships with both a per-pixel binary tumor mask and the original hand-delineated tumor border polyline.

Schema

Column	Type	Description
`id`	`string`	Slice ID, "1" to "3064"
`pid`	`string`	Patient ID (used to keep splits patient-disjoint)
`label_id`	`int32`	1 = meningioma, 2 = glioma, 3 = pituitary
`label_name`	`string`	"meningioma" / "glioma" / "pituitary"
`fold`	`int32`	Pre-computed 5-fold CV index (1..5, patient-disjoint)
`image`	`Image`	16-bit grayscale PNG, 512×512, raw T1-CE MRI
`mask`	`Image`	8-bit grayscale PNG, 512×512, 0 = bg / 255 = tumor
`tumor_border`	`list[float]`	Polyline coordinates `[x1, y1, x2, y2, ...]` of the manual border

Splits

Split	Source	Count
train	folds 2-5	2522
test	fold 1	542

The fold column is preserved on every row so users can run other CV protocols (rotate which fold is held out, etc.). Fold assignment is patient-level, so no patient appears in both train and test of any fold.

Acquisition

T1-weighted contrast-enhanced MRI (after Gd-DTPA injection, 0.1 mmol/kg @ 2 ml/s) acquired between 2005-09 and 2010-10 at Nanfang Hospital (Guangzhou) and General Hospital of Tianjin Medical University, China. In-plane 512×512, pixel spacing 0.49×0.49 mm, slice thickness 6 mm, slice gap 1 mm.

Mask sources

The upstream .mat files ship two semantically equivalent encodings of the same manual annotation: 1. cjdata.tumorBorder — raw polyline coordinates as drawn by the radiologist. 2. cjdata.tumorMask — the convenience rasterisation of that polyline as a binary 512×512 image.

This mirror exposes both: mask is the rasterised version (recommended ground truth for segmentation), tumor_border is the raw polyline.

License

CC BY 4.0 — free use including commercial, attribution required.

Citation

@article{cheng2015enhanced,
  title   = {Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition},
  author  = {Cheng, Jun and Huang, Wei and Cao, Shuangliang and Yang, Ru and Yang, Wei and Yun, Zhaoqiang and Wang, Zhijian and Feng, Qianjin},
  journal = {PLOS ONE},
  volume  = {10},
  number  = {10},
  pages   = {e0140381},
  year    = {2015},
  doi     = {10.1371/journal.pone.0140381}
}

Source

Figshare: https://figshare.com/articles/dataset/brain_tumor_dataset/1512427
DOI: 10.6084/m9.figshare.1512427
Paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0140381

🗂️ MedOtter/Figshare_Brain_Tumor