700 datasets found

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

COVID-19 CT-scans segmentation datasets

The BraTS-Mets 2023 dataset has MRI scans from 238 patients with four MRI modalities: T1, T1c, T2, and FLAIR.

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

The dataset used in this study consists of 25 sequences of CT images of patients affected by abdominal aortic aneurysm.

A dataset of 1090 annotated images for developing a deep learning model for placental segmentation.

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.

The dataset used in this paper for tuberculosis (TB) prediction using synthetically generated computed tomography (CT) images.

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...

Ultrasound dataset for Achilles tendon healing progress estimation

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...

ACDC dataset contains 100 samples with the cavity of the right ventricle (RV), the myocardium of the left ventricle (MYO), and the cavity of the left ventricle (LV) to be...

A placental vessel segmentation dataset for fetoscopic mosaicking, consisting of 483 manually annotated images and 6 in vivo video clips.

The VISCERAL segmentation benchmark contains abdominal T1 contrast-enhanced MR scans for whole-body segmentation.