766 datasets found

Breast cancer histology images classification using transfer learning

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

A large annotated dataset of cervical spine CT images for fracture detection

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

Two datasets used to train the SpineNetV2 pipeline: Oxford Whole Spine (OWS) and Genodisc.

Unsupervised domain adaptation framework for fundus image segmentation

The dataset contains radiographs of patients with various health conditions.

The dataset contains radiographs of patients with ankylosing spondylitis.

The proposed pipeline, VertXNet, is trained and tested on either anonymized X-ray images (MEASURE 1 and PREVENT) from completed and anonymized secukinumab clinical trials or a...

The DeepLesion dataset consists of 32,735 images bookmarked and measured via RECIST annotations by multiple radiologists over multiple years from 10,594 studies of 4,459 patients.

Fundus image dataset for unsupervised domain adaptive segmentation

Fundus image dataset for unsupervised domain adaptive segmentation

The target dataset is a 79 chip target dataset built using the optical imagery generated by Theia, the MRC satellite optical camera.

The dataset used in this study was collected during the WEB-IT clinical trial. It consists of 81 cases across 30 different US hospitals that had obtained patient consent for...

The MMAC dataset is an extensive collection of color fundus images dedicated to research on myopic maculopathy.

A separate dataset of 3D chest CT volumes and radiology reports, used for external evaluation of the proposed BIUD model.

A large dataset of 3D chest CT volumes and corresponding radiology reports, used for training and testing the proposed BIUD model.

The lesion masks dataset is used for prostate cancer segmentation. It contains 299 lesions annotated by two residents and two experienced board-certified radiologists.

The PROSTATEx challenge dataset is used for prostate cancer triage. It contains 204 patients diagnosed with PCa and 330 lesions. Lesions were annotated by experienced...

The dataset used for wall stress estimation in cerebral aneurysms