766 datasets found

The COVIDx dataset is a combination of many publicly available datasets for COVID-19 image classification.

A dataset for validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images

The RSNA Pneumonia Detection Challenge dataset comprises 30,000 frontal-view CXR images, with each image labeled as “Normal,” “No Opacity/Not Normal,” or “Opacity” by one to...

Multimodal Brain Tumor Image Segmentation Challenge (BraTS) 2018 dataset used for brain tumor segmentation and overall survival prediction.

The dataset used in this paper for medical image segmentation, including images from the ISBI-2012 dataset.

The dataset used for testing was chosen based on their popularity for evaluating registration and variation in structure parcellation methods.

Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated...

A large-scale benchmark dataset for full-field digital mammography.

Two datasets used for training and testing the MAM-E model, one for healthy mammograms and one for mammograms with lesions.

BIMCV-COVID19 Dataset

GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays

The dataset for COVID-19 detection from X-ray images of the chest.

Self-supervised learning dataset for TransUNet pretraining

Children’s wrist ultrasound scans dataset for bony region segmentation

White matter hyperintensity (WMH) segmentation challenge dataset

The WORD dataset is used for deformable image registration. The dataset consists of 150 abdominal CT scans from 150 patients with 30495 slices.

The COVIDx CXR-3 dataset is a large-scale, open-source benchmark dataset of chest X-ray images for computer-aided COVID-19 diagnostics.

Planning CT and structure datasets for 120 intact prostate cancer patients were retrospectively selected and divided for 10-fold cross-validation.

Transparent adaptation in deep medical image diagnosis.

Ai-enabled analysis of 3-d ct scans for diagnosis of covid-19 & its severity.