. 2019 May 29;32(4):582–596. doi: 10.1007/s10278-019-00227-x

Table 2.

Summary of widely used datasets for various organ segmentation

Organ	Dataset name	Dataset size	Dimension	Modality	Used in
Abdominal	NIH-CT-82	82 samples	3D	CT	[7, 63, 64]
	UFL-MRI-79	79 samples	−	−	[64]
	Brain MRI C34	−	−	MRI	[54]
Brain	MR Brains	−	−	MRI	[8]
	Find the dataset from Zhang			MRI	[57, 89]
	ADNI	339 samples	3D	PET	[12]
Breast	Breast MRI -34	−	−	T1-MRI	[54]
	INbreast	116 samples	2D	Mammography	[21, 55]
	DDSM-BCRP	158 samples	−	−	[21]
Cardiac	Cardiac CTA	−	−	CT	[54]
Heart	ACDC	150 patients	2D	MRI	[5]
Left ventricular	PRETERM dataset	234 cases	2D	MRI	[48, 59]
Liver	SLiver07	30 samples	3D	CT	[23, 37]
	3DIRCADb	20 samples	3D	CT	[16]
Lung	Lung Nodule Analysis 2016 (LUNA16)	880 patients	2D	CT	[1]
	Kaggles Data Science Bowl (DSB)	1397 patients	2D	CT	[1]
	Japanese Society of Radiological Technology (JSRT)	247 images	2D	CT	[31]
	Lung Image Database Consortium (LIDC)	1024 patients	2D	CT	[3, 14]
Prostate	Promise 2012	−	2D	−	[53]
Skin	ISBI 2016	1250 image	2D	−	[19, 83]
Multiple organ	Computational anatomy	640 samples	3D	CT	[92]