700 datasets found

Compressed Sensing MRI reconstruction using a Generative Adversarial Network with a Cyclic Loss

The MIA-COVID-19 dataset contains 3D Covid-19 CT-scan images series from patients with COVID-19 and patients without COVID-19.

The RPLHR-CT dataset is a medium-sized dataset containing real-paired thin-CTs and thick-CTs of 250 patients.

Automated segmentation of vertebrae on lateral chest radiography using deep learning

A dataset of 2857 heart short-axis MRI slices of 292 patients with hypertrophic cardiomyopathy, used for training and evaluation of deep learning models for left ventricular...

COVID-19 Detection from Pulmonary CT Scans using a Novel EfficientNet with Attention Mechanism

Brain tumor MRI dataset used for classification of brain tumors into Meningioma, Glioma, and Pituitary tumor

The Chaoyang dataset is a dataset of medical images.

The CHAOS-CT dataset contains liver segmentation images.

The HVSMR-2016 dataset contains whole-heart images.

A multi-centre cohort consisting of 686 HCM patients and 679 healthy volunteers.

A new deep learning approach to learn a hierarchy of conditional latent variables that models a population of anatomical segmentations of interest, enables the classification of...

Internal head and neck CT scans for normal organ segmentation

Head and neck CT scans for normal organ segmentation

COVID-CT dataset that has been used in this study is publicly available. There are 349 images of COVID-19 collected from 216 patients. The non-COVID-19 data contains 397 samples.

Brain MR dataset for tumor classification and source type classification

Radiology report generation using cross-modal memory networks

Neounet: Towards accurate colon in Ad-polyp segmentation and neoplasm detection.

Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians.

The dataset used for the challenging task of volumetric whole brain segmentation.