766 datasets found

Two public LDCT denoising datasets: Mayo-2016 and Mayo-2020.

A custom dataset for COVID-19 detection, pneumonia, and normal images

A chest X-ray dataset for COVID-19 detection, pneumonia, and normal images

A dataset of 140 consecutive non-contrast head CT scans gathered in January 2021.

The UK Biobank dataset consists of SAX and LAX cine CMR images of normal subjects. Cardiac structures, LV cavity (LVC), LV myocardium (LVM), and right-ventricle cavity (RVC)...

A public high-resolution OCT dataset for optical coherence tomography angiography study.

Brain Tumor Segmentation dataset contains images of brain tumors from MRI scans. The dataset is used for automatic segmentation of brain tumors.

Musculoskeletal radiographs dataset for abnormality detection

A virtual clinical trial framework.

A physical 3D anthropomorphic breast phantom.

A dataset of 42 breast ultrasound images acquired by Shantou University using the GE Voluson E10 ultrasonic diagnostic system.

The dataset used in the paper is a collection of digital breast tomosynthesis (DBT) stacks with masses inserted in the center of the stack.

The BUSI dataset is a collection of ultrasound images depicting normal, benign, and malignant breast cancer cases along with their corresponding segmentation maps.

The Isfahan MISP dataset, consisting of retinography and angiography images of diabetic patients.

A dataset of unregistered four-view mammograms for breast cancer diagnosis

A dataset of 205 healthy adults used for external validation of the Gemini-GAN model for joint 3D super-resolution and segmentation of cardiac images.

A dataset of 1331 healthy adults used for training and validation of the Gemini-GAN model for joint 3D super-resolution and segmentation of cardiac images.

The Lung dataset is a real-world dataset used for diagnosis of lung cancer from urine samples.

The dataset is used for low-dose computed tomography (LDCT) image denoising. It contains noisy LDCT images and their corresponding clean targets.

The BreaKHis dataset consists of 7,909 clinically representative microscopic images of breast tumor tissue.