236 datasets found

Chest X-ray dataset for abnormality localization in heterogeneous data with cross-domain self-supervised learning

The dataset contains chest radiographs with annotated lung segments.

The dataset used for COVID-19 segmentation from CT images, using deep learning and imaging for delineating COVID-19 infection in lungs.

The NYU Breast Cancer Screening Dataset contains high-resolution screening mammography with small lesions, serving as a representative dataset for the characteristics of medical...

MIMIC-III is a large, publicly available clinical database containing information from the Medical Information Mart for Intensive Care III. It is used for various clinical...

Toward data efficient learning: A benchmark for COVID 19 CT lung and infection segmentation

MIA-COV19D: Covid-19 detection through 3-d chest CT image analysis

AI-mia: Covid-19 detection & severity analysis through medical imaging

Cephalometric dataset containing 400 X-rays, split into 150 training, 150 Test 1 (validation), and 100 Test 2 (testing) images.

NIH CXR database for lung segmentation, including CXR images with severe abnormal findings.

Montgomery database for lung segmentation, including CXR images with small- or medium-sized abnormal findings.

JSRT database for lung segmentation, including CXR images with small- or medium-sized abnormal findings.

MIMIC-CXR is a comprehensive collection of de-identified Chest X-ray (CXR) data acquired from Beth Israel Deaconess Medical Center in Boston, United States. MIMIC-CXR includes...

A mammographic image analysis society (mias) database v1.21

The Lung Cancer part of the dataset LC25000 has 25,000 color images in 5 classes. Each class contains 5,000 images of the histologic categories: colon adenocarcinoma, benign...

LIDC-IDRI dataset contains almost all the related information for low-dose lung CTs including several doctors' annotations on nodule sizes, locations, diagnosis results, nodule...