766 datasets found

The ONSD dataset contains ultrasound videos of optic nerve sheath diameter measurements.

MRI scans appearance significantly depends on scanning protocols and, consequently, the data-collection institution. These variations between clinical sites result in dramatic...

99 images of benign and malignant thyroid nodules for classification

The C-NMC 2019 challenge dataset consists of segmented white blood cell images of 69 ALL cancer patients and 49 healthy subjects.

The PROSTATEx Challenge dataset contains prostate imaging data for prostate cancer assessment.

MRI reconstruction dataset for unpaired training

MRI reconstruction dataset for unpaired training

A public dataset, available in NifTi format, for automatic liver segmentation.

The dataset used in this study for COVID-19 detection, containing laboratory parameters and chest x-ray images.

Elbow fracture diagnosis from X-ray images using medical knowledge-guided deep curriculum learning

COVID-19 CT scans and corresponding reports from a university hospital

The dataset used in this paper is the Breast Cancer Wisconsin (Diagnostics) dataset, which contains cytological characteristics of 699 breast fine-needle aspirates.

Chest X-ray dataset is a medical image dataset containing 5,856 images of chest X-rays.

APTOS dataset is a medical image dataset containing 38,788 images of retinas.

Large chest radiograph dataset with uncertainty labels and expert comparison.

Chest X-ray datasets used to train machine learning models, potentially suffering from population, prevalence, and annotation shift biases.

A dataset comprising 10 out-of-phase 3pt Dixon MRI volumes was used for algorithm development and testing.

An in-house dataset containing a total of 199 longitudinal MRI scans from 38 patients suffering from glioma

The BraTS 2019 validation and testing datasets are used to evaluate the performance of the proposed segmentation method.

Multimodal brain tumor segmentation challenge (BraTS) aims to evaluate state-of-the-art methods for the segmentation of brain tumors by providing a 3D MRI dataset with ground...