766 datasets found

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 NIH ChestXray14 dataset contains frontal-view X-ray images of 30,805 unique patients with 14 disease labels, which are obtained from associated radiology reports.

The MNIST dataset is a large dataset of handwritten digits, and the MIMIC-CXR-JPG dataset is a large dataset of chest x-ray images.

MIMIC-IV ED dataset used for outcome prediction and patient triage in hospital emergency department based on text information in chief complaints and vital signs recorded at...

The Dermatology dataset consists of 34 features and 358 instances classifying the type of erythematous-squamous disease into six classes.

A dataset of OCT scans obtained with the Topcon machine.

A dataset of OCT scans obtained with the Spectralis machine.

A dataset of OCT scans imaged with the Cirrus machine.

A dataset of OCT scans obtained with the Bioptigen device.

This paper proposes an automated method for the segmentation and extraction of the posterior segment of the human eye, including the vitreous, retina, choroid, and sclera...

The dataset used for training, validation, and test sets for automatic coronary calcium scoring in cardiac CT and chest CT.

The Rads-VinDr-CXR dataset is a sub-dataset of VinDr-CXR, annotated by three radiologists (R8, R9, R10).

Automated separation of binary overlapping trees in low-contrast color retinal images.

The BraTS 2018 training dataset included 285 cases (210 HGG and 75 LGG), each with four 3D MRI modalities (T1, T1c, T2 and FLAIR) rigidly aligned, resampled to 1x1x1 mm...

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.