766 datasets found

The clinical dataset is a public dataset for medical imaging.

A dataset for histopathological image analysis

Prostate-Diagnosis and PROSTATEx dataset are used in this work. These datasets are publicly available on Cancer Imaging Archive.

The Lung Image Database Consortium image collection (LIDC-IDRI) is a dataset of chest CT scans with annotated lung nodules.

Predicting registration error can be useful for evaluation of registration procedures, which is important for the adoption of registration techniques in the clinic.

The dataset consists of three labeled datasets of head CT studies of reported patients, presenting large vessel occlusion, acute ischemic strokes, and intracranial hemorrhage.

Chest X-ray dataset used for detecting shortcuts in medical images

The dataset is used for kidney tumor segmentation from CT volumes.

The African American-Diabetes Heart Study (AA-DHS) dataset contains CT scans of abdomen with manual liver segmentation.

The ALARM method is a fully automated liver attenuation estimation method that combines deep convolutional neural network (DCNN) and morphological operations.

A dataset for angiodysplasia detection and localization using deep convolutional neural networks.

MRI images of knee joint for cartilage defect diagnosis

MRI images of knee joint for cartilage defect diagnosis

The dataset used for lung cancer diagnostic task

The dataset used for lung nodule segmentation, including the LIDC-IDRI dataset and the LC015 dataset.

The MIMIC and CheXpert datasets are used to analyze and remove protected feature effects in chest radiograph embeddings of deep learning models.

Whole body magnetic resonance imaging (WB-MRI) is the recommended modality for diagnosis of multiple myeloma (MM). WB-MRI is used to detect sites of disease across the entire...

The RSNA Intracranial Hemorrhage Dataset is composed of computed tomography studies supplied by four research institutions and labeled with the help of The American Society of...

A dataset of 3D MRI volumes with 19 features for thalamic nuclei parcellation, including noisy annotations.

The dataset used for surgical phase recognition of laparoscopic cholecystectomy and subtotal gastrectomy for gastric cancer.