766 datasets found

Liver segmentation using Turbolift learning for CT and Cone-beam C-arm Perfusion Imaging

The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.

COVID-19-20_v2

COVID-19 CT scans

COVID-19 CT images of the lungs, ground glass turbidity is the most common finding that requires specialist diagnosis.

The dataset used for training and testing the DeepMediX model, which consists of brain MRI and skin cancer images.

A dataset of low-dose CT images

A dataset of low-dose CT images and projection data

A dataset of chest X-rays from Montgomery and Shenzen hospitals, containing 336 normal cases and 326 tuberculosis cases.

A large DNN, containing 3 stacked modules. The segmentation module is an U-Net, trained beforehand to receive X-rays and output segmentation masks.

Unsupervised domain adaptation for nuclei instance segmentation in histopathology images

MoSt-DSA is a dataset for direct multi-frame interpolation in DSA images. It contains 470 head DSA image sequences from 8 hospitals, each containing 152 images of 489x489...

A novel approach for multi-label chest X-ray classification of common thorax diseases.

The MIDOG Challenge was a competition on mitosis detection held at the International Conference on Medical Image Computing and Computer Assisted Intervention, 2021.

The dataset used in the paper is a collection of digital breast tomosynthesis (DBT) stacks with single micro-calcifications or masses inserted in the center of the stack.

A hospital-scale chest x-ray dataset with weakly-supervised classification and localization of common thorax diseases

A large chest x-ray image dataset with multi-label annotated reports

The dataset consists of T1-weighted brain MRI images of adults, with manual segmentation of anatomical structures provided.

The dataset used in the paper for Multiple Track Location Shear Wave Elasticity Imaging (MTL-SWEI) using acoustic radiation force impulse (ARFI) method.

The dataset used in the paper for 3D shear wave absolute vibro-elastography (S-WAVE) imaging, including phantom and ex vivo data.