236 datasets found

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.

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.

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

Colonoscopy videos dataset for 3D reconstruction of colon surface

CT colonography dataset for colon surface reconstruction

Colonoscopy videos dataset for 3D reconstruction of colon surface

The Breast Cancer Wisconsin (Diagnostic) dataset is a collection of images of breast tissue, used for diagnostic purposes. The dataset consists of 569 images, each labeled with...

The CT images of COVID-19 dataset is a collection of 349 CT images of COVID-19 patients and 397 non-COVID-19 CT images.

The dataset used for the proposed Concept-Centric Visual Turing Test (VTT) framework for evaluating MIC methods.

A dataset for Cone-Beam X-ray Computed Tomography

MIMIC is a public dataset that describes clinical information of patients admitted to an Intensive Care Unit at the Beth Israel Deaconess Medical Center in Boston, Massachusetts...

Pediatric MR images of 350 patients acquired on a 3T MRI scanner.

The Multimodal Brain Tumor Segmentation Challenge 2020 dataset was used as our primary dataset for brain tumor classification and segmentation.

A real COVID-19 dataset containing 666 3D chest CT scans acquired from 242 patients who are confirmed with COVID-19.

Curated T1w MRI and CT scans from diverse sources, including the CERMEP-iDB-MRXFDG, OASIS3, NeuroMorphometrics1, IXI 2, and an in-house dataset.

The APTOS 2019 blindness detection competition dataset is used for training and testing the proposed Frequency Domain Convolutional Neural Network (FDCNN) architecture.

The COVOC dataset is used to evaluate the performance of the Lung Swapping Autoencoder (LSAE) model on COVID-19 outcome prediction. The dataset consists of 340 CXRs from 327...

A hospital-scale chest X-ray database, namely “ChestX-ray8”, which comprises 108,948 frontal-view X-ray images of 32,717 unique patients with the text-mined eight common disease...