236 datasets found

The dataset used in this study contains preoperative clinical information and MRI scans of 900 rectal cancer patients.

A dataset of patient data for evaluating the performance of the proposed method.

The dataset is used to test the performance of the machine learning model for strain estimation and frame selection in ultrasound elastography.

The CBIS-DDSM dataset consists of scanned film mammograms with regions of interest (ROIs) of lesions identified on mammograms.

The Brats dataset contains T1-w MR brain images of healthy subjects and patients with brain tumors.

IU X-ray dataset is a collection of radiology reports and corresponding chest X-ray images.

The dataset used in the paper for missing value imputation using feature-specific generative adversarial networks.

Larynx Dataset

Liver Dataset

The ActualMed COVID-19 Chest X-ray Dataset Initiative is a collection of 13,975 CXR images of around 13,870 infected patients.

The COVID-19 Chest X-Ray Dataset Initiative is a collection of 13,975 CXR images of around 13,870 infected patients.

The dataset of chest x-rays used in this paper come from COVID-19 image data collection from Joseph Paul Cohen and Paul Morrison and Lan Dao. This dataset contains x-rays of...

The dataset used to train the proposed model is a combination of two open-source datasets called COVID-19 image data collection and Covid-Net.

A private dataset of breast cancer lymph nodes, where the primary task was to segment germinal centres and sinus histiocytosis.

Anomaly detection is the process of identifying atypical data samples that significantly deviate from the majority of the dataset. In the realm of clinical screening and...

The dataset used for testing and validation of the proposed Monte Carlo Transformer-based U-Net (MC-Swin-U) architecture for tumor and OAR segmentation in radiation oncology...

Organ at risk (OAR) segmentation is a crucial step for treatment planning and outcome determination in radiotherapy treatments of cancer patients.

A hospital-scale chest x-ray database and benchmarks for weakly-supervised classification and localization of common thorax diseases.

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 of sagittally-sliced lumbar T1 and T2 scans from 6 different international clinical spinal imaging centres.