118 datasets found

Publicly available dataset of head CT scans for intracranial hemorrhage detection

Computed tomography (CT) images of head for intracranial hemorrhage detection

A dataset for kidney and kidney tumor segmentation in contrast-enhanced CT images.

A pediatric dataset of abdominal-visceral CT images from 80 patients, with early arterial contrast injection.

Breast cancer dataset where mammograms have been labeled independently by three doctors. Ground-truth has been obtained through a biopsy, not available to the algorithm nor the...

ETH3D is a small real-world grayscale dataset with both indoor and outdoor scenes. It contains 27 labeled stereo image pairs for training and 20 stereo pairs for testing.

SCARED is one of the MICCAI 2019 challenges, and provided a training set acquired from 7 pigs. Each pig corresponds to 5 videos recorded by a binocular camera from 5 different...

A dataset used for testing the proposed Deep Feature Learning method for histopathology image classification.

Radiology narrative reports often describe characteristics of a patient’s disease, including its location, size, and shape. The CANDID-PTX dataset consists of 19,237 chest...

A hospital-scale chest X-ray database, namely “ChestX-ray8”, which comprises 108,948 frontal-view X-ray images of 32,717 unique patients with the text-mined eight common disease...

The dataset used in this paper is a collection of histological slides stained with Hematoxylin and Eosin (H&E) and Hematoxylin Phloxine Saffron (HPS) for colorectal liver...

The dataset used in this paper for pneumonia detection on chest X-ray images.

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?

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

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

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

The IDC dataset is a large-scale dataset for invasive ductal carcinoma (IDC) classification, containing 277,524 patches of 50x50 pixels.