236 datasets found

Retinal fundus images for glaucoma analysis: the RIGA dataset.

Two publically available datasets namely RIM-ONE-r2 and DRISHTI-GS were chosen for this study.

The Lung Image Database Consortium (LIDC) image collection dataset contains images of the lung.

The AAPM dataset DICOM Full Dose data was acquired at 120kV and 200mAs in the portal venous phase using a Siemens SOMATOM Flash scanner.

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...

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

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...

BIMCV-COVID19 Dataset

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

White matter hyperintensity (WMH) segmentation challenge dataset

Transparent adaptation in deep medical image diagnosis.

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

A large imaging database and novel deep neural architecture for covid-19 diagnosis.

COVID-19 CT Database (COV19-CT-DB) is a dataset used for Covid-19 Detection and Covid-19 Domain Adaptation Challenges.

A chest X-ray dataset, a knee MRI dataset, and a PCCTA dataset were used to assess memorization in unconditional latent diffusion models for medical image synthesis.

This dataset contains abdominal CT and MRI images from 40 patients.

A cohort of 100 CT scans acquired from The Cancer Imaging Archive (TCIA) was used to develop and validate a computer tool for automatic and simultaneous segmentation of body...

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI) dataset is used for training and testing a ResNet-50 model to classify CT scans of lungs...

The dataset used for the diabetic retinopathy diagnosis and uncertainty quantification task.