13 datasets found

A dataset of studies tagged slice-wise by radiologists for training a deep learning algorithm for detection of hemorrhage in CT scans.

The dataset used in this paper is a collection of 51 seed images of lung nodules, which are used to train an autoencoder-based system to generate synthetic 3D lung nodule images.

COVID-19 CT scans

A public dataset for COVID-19 lesion segmentation in CT scans.

A public dataset for COVID-19 lesion segmentation in CT scans.

The dataset contains 3D thoracic CT scans for segmentation of thoracic organs.

The LoDoPaB-CT dataset is used to test the reconstruction methods. The dataset consists of 284,672 training samples and 10,000 test samples.

A dataset for pulmonary nodule detection with 4146 CT scans and 8 categories of pulmonary nodules.

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

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

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI) dataset contains lung nodules annotated by radiologists.

The Lung Image Database Consortium (LIDC) dataset contains 1609 2D thoracic CT scans belonging to 214 subjects.

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...