metadata
license: other
task_categories:
- image-segmentation
language:
- en
- zh
pretty_name: GenSegDataset Processed Medical Segmentation Backup
GenSegDataset
English
This repository is a processed backup of medical image segmentation datasets used by the SegGen/NPJ experiments.
Each *.tar archive expands to one dataset directory in the unified layout:
<dataset>/<protocol>/<split>/{images,masks}/
<dataset>/metadata.json
<dataset>/manifest.jsonl
The archives contain extracted and standardized PNG image/mask pairs. Splits are already prepared; users do not need to unzip original raw sources or create train/val/test splits again.
Before upload, each dataset was checked for:
- existing
train/val/testsplit directories, images/andmasks/pairing by filename stem,metadata.json,manifest.jsonl.
中文
本仓库是 SegGen/NPJ 实验使用的医学图像分割数据集的已处理备份。
每个 *.tar 解压后都是一个已经标准化好的数据集目录,统一结构如下:
<dataset>/<protocol>/<split>/{images,masks}/
<dataset>/metadata.json
<dataset>/manifest.jsonl
这些压缩包中保存的是已经解压、标准化并划分好的 PNG 图像/掩码对,不是原始 raw zip。使用时不需要重新解压原始数据,也不需要重新划分 train/val/test。
上传前已检查:
- 是否存在
train/val/test划分目录; images/与masks/是否按文件 stem 一一对应;- 是否存在
metadata.json; - 是否存在
manifest.jsonl。
Inventory / 数据清单
| Dataset 数据集 | Archive 压缩包 | Server size 服务器大小 | Total images 总图像数 | Protocols train/val/test 划分 |
|---|---|---|---|---|
acdc_png |
acdc_png.tar |
61M | 726 | official:136/210/380 |
bus_bra |
bus_bra.tar |
171M | 1875 | official:1312/188/375 |
busi |
busi.tar |
17G | 4535 | fold01:545/78/157; fold02:545/78/157; fold03:546/78/156; fold04:547/78/155; fold05:547/78/155; synthonly:400/78/157 |
consep |
consep.tar |
88M | 656 | official:352/80/224 |
cvc_clinicdb |
cvc_clinicdb.tar |
938M | 612 | official:490/61/61 |
cvc_colondb |
cvc_colondb.tar |
50M | 380 | official:266/38/76 |
drive |
drive.tar |
1.8M | 20 | official:14/2/4 |
endoscene |
endoscene.tar |
107M | 912 | official:547/183/182 |
etis_larib |
etis_larib.tar |
30M | 196 | official:137/19/40 |
fives |
fives.tar |
311M | 800 | official:480/120/200 |
ham10000 |
ham10000.tar |
1.7G | 10015 | holdout:7010/1002/2003 |
idridd_segmentation |
idridd_segmentation.tar |
3.6M | 405 | fold01:43/11/27; fold02:43/11/27; fold03:43/11/27; fold04:43/11/27; fold05:44/10/27 |
kvasir_seg |
kvasir_seg.tar |
17G | 1000 | official:800/100/100 |
medsegdb_isic2018 |
medsegdb_isic2018.tar |
24G | 5194 | holdout:2582/369/737; synthonly:400/369/737 |
medsegdb_kits19 |
medsegdb_kits19.tar |
1.3G | 20080 | fold01:2832/479/705; fold02:2966/231/819; fold03:3036/465/515; fold04:2854/286/876; fold05:2510/405/1101 |
monuseg |
monuseg.tar |
411M | 816 | official:496/96/224 |
pannuke_semantic |
pannuke_semantic.tar |
1.2G | 23703 | fold01:2722/2523/2656; fold02:2656/2722/2523; fold03:2523/2656/2722 |
ph2 |
ph2.tar |
27M | 200 | holdout:140/20/40 |
refuge2 |
refuge2.tar |
133M | 1200 | official:400/400/400 |
udiat |
udiat.tar |
17M | 163 | official:114/16/33 |
Task grouping / 任务分组
| Modality 模态 | Dataset(s) 数据集 | Task 任务 |
|---|---|---|
| Dermoscopy 皮肤镜 | medsegdb_isic2018, ham10000, ph2 |
Skin lesion segmentation 皮肤病灶分割 |
| Colonoscopy / Endoscopy 结肠镜/内镜 | kvasir_seg, cvc_clinicdb, cvc_colondb, endoscene, etis_larib |
Polyp segmentation 息肉分割 |
| Breast ultrasound 乳腺超声 | busi, bus_bra, udiat |
Breast lesion segmentation 乳腺病灶分割 |
| Fundus 眼底 | fives, drive |
Vessel segmentation 血管分割 |
| Fundus 眼底 | refuge2 |
Optic disc/cup segmentation 视盘/视杯分割 |
| Fundus 眼底 | idridd_segmentation |
Diabetic retinopathy lesion / optic disc segmentation 糖网病灶/视盘分割 |
| Histopathology 病理 | pannuke_semantic |
Semantic nuclei segmentation / cell typing 细胞核语义分割/分类 |
| Histopathology 病理 | monuseg, consep |
Nuclei segmentation 细胞核分割 |
| CT | medsegdb_kits19 |
Kidney/tumor foreground segmentation 肾/肿瘤前景分割 |
| MRI | acdc_png |
Cardiac structure segmentation 心脏结构分割 |
Notes / 备注
HF_UPLOAD_INVENTORY.tsvcontains the same split/count audit in tabular form.HF_UPLOAD_INVENTORY.tsv中保存了同样的划分和数量审计表。- Some older archives existed before this update; missing datasets were added from
/home/wzhang/LSC/Dataset/Segmentation/processed_unifiedon 2026-07-01. - 部分旧压缩包在本次更新前已经存在;本次已从服务器 processed_unified 目录补齐缺失数据集。