700 datasets found

The OCT-ML dataset is a multi-label OCT dataset consisting of 1435 samples from 369 eyes of 203 patients considering multiple diseases.

Tomopy dataset

Synchrotron radiation CT reconstruction dataset

The Chexpert dataset is a large chest radiograph dataset with uncertainty labels and expert comparison.

Time-resolved MR angiography (tMRA) dataset with flexible temporal resolution

ATLAS v2.0 dataset for brain MRI

IXI dataset for brain MRI, FastMRI+ dataset for brain MRI

A breast cancer malignancy classification dataset using dynamic contrast-enhanced MRI images

The NIH dataset contains 14 different diseases, including pneumonia, and is used for training and testing machine learning models.

The RSNA dataset contains 26,684 frontal-view chest X-ray images, all of which are labeled as either 0 (no pneumonia) or 1 (pneumonia).

Finding and measuring lungs in CT data

Skin cancer segmentation and lung lesion segmentation datasets

MRI anonymization dataset

Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled data is important in many clinical applications. In recent years, deep learning-based...

Lightweight vision transformer for US segmentation.

In silico bone US simulation framework that synthesizes realistic US images from diagnostic CT volume.

Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.

The dataset for blood biomarkers contains features from blood tests.

The dataset for electrical impedance tomography (EIT) contains features from breast tissue biopsies.

The dataset for thermography contains IR images (digitalized mammograms and clinical data) obtained from patients of the Antonio Pedro University Hospital.