118 datasets found

The EyePACS dataset is a collection of retinal fundus images of individuals potentially suffering from diabetic retinopathy (DR), an eye disease associated with diabetes that is...

A publicly available x-ray dataset with COVID v.s. non-COVID labels.

The dataset used for training and validation of the proposed method for ultrasound image reconstruction.

The dataset used for training and validation of the proposed method for ultrasound image reconstruction.

The lung lesion dataset is a collection of clinical and imaging reports used for training and evaluation of lung lesion clinical data extraction models.

Chest radiography is one of the most ubiquitous diagnostic modalities for cardiothoracic and pulmonary abnormalities in the clinical setting. A timely diagnostic based on the...

The dataset used for testing the proposed CNN model, containing 18 patients with 8-11 CT scans each.

The dataset used for training and testing the baseline CNN model, containing 379 patients with one CT scan each.

The COV19-CT-DB dataset contains chest CT scans marking the existence of COVID-19. It consists of about 1,650 COVID and 6,100 non-COVID chest CT scan series from over 1,150...

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.

Unsupervised domain adaptation for nuclei instance segmentation in histopathology images

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.

A large-scale dataset of chest CT scans for COVID-19 diagnosis and triage

Noisy ultrasound images were represented as one of the major challenges in medical diagnosis. Regarding that, stemming from denoising diffusion probabilistic models, a denoising...

The dataset used in the diabetic retinopathy detection task in the conformal risk control framework.

An anonymized internal trial dataset for vertebrae segmentation and identification from spinal X-ray images

Mammogram classification is directly related to computer-aided di-agnosis of breast cancer. Traditional methods rely on regions of interest (ROIs) which require great efforts to...

A small dataset of 65 panoramic images for automatic detection of atherosclerotic carotid plaques.

The dataset used in this study comprises X-ray images representing pneumonia cases and those depicting normal conditions.