136 datasets found

The dataset consists of three labeled datasets of head CT studies of reported patients, presenting large vessel occlusion, acute ischemic strokes, and intracranial hemorrhage.

A dataset for angiodysplasia detection and localization using deep convolutional neural networks.

The dataset used for lung nodule segmentation, including the LIDC-IDRI dataset and the LC015 dataset.

The RSNA Intracranial Hemorrhage Dataset is composed of computed tomography studies supplied by four research institutions and labeled with the help of The American Society of...

The dataset used for surgical phase recognition of laparoscopic cholecystectomy and subtotal gastrectomy for gastric cancer.

The dataset used for surgical phase recognition of laparoscopic cholecystectomy and subtotal gastrectomy for gastric cancer.

The dataset used in this paper is a collection of fetal MRI scans with varying degrees of motion corruption.

The LungMask dataset is used for lung segmentation in CT scans. It includes a set of 50 patches of size 64x64 extracted on random axial slices from 3 CT scans with the...

The ATM22 dataset is used for airway segmentation in lung CT scans. It includes N=500 CT scans (300 for training, 150 for testing, and 50 for validation).

Thyroid Nodule Classification Dataset (TNCD) is a benchmark for thyroid nodule diagnosis, containing 3493 ultrasound images taken from 2421 patients.

The PALM and Eyepacs datasets are used for fundus disease localization. The PALM dataset contains 1200 standardized fundus images, divided into three groups: training,...

10 images are provided as training data, 13 images are used to evaluate the method in the challenge. For all patients, T1- and T2-weighted images are provided.

The MIMIC-CXR-JPG dataset is a large publicly available database of labeled chest radiographs.

The heart dataset constitutes 30 MRI scans from a single cardiac phase of the heart. Each image has a voxel resolution of 1.25mm3. Segmentation is carried out using an automated...

A dataset of 17 liver laparascopies and 37 colonoscopies

A video dataset of liver laparascopies and colonoscopies

Publicly available dataset for 3D shape-consistent synthetic data generation

Multi-Modality Whole Heart Segmentation (MWHS) Challenge 2017 dataset for cardiac segmentation

MIMIC-NLE is a large-scale medical imaging dataset with natural language explanations for chest X-ray pathologies.

A benchmark for assessing the performance of fairness mitigation methods in medical imaging.