53 datasets found

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 in the paper is a collection of medical images of patients diagnosed with glioblastoma multiforme, which is a type of brain cancer.

The dataset used in the paper is a collection of medical images of patients diagnosed with glioblastoma multiforme, which is a type of brain cancer.

The RIM-ONE-r3 dataset contains 60 test images.

The Refuge challenging data set contains 400 train, 400 validation, and 400 test images.

Preparing a collection of radiology examinations for distribution and retrieval.

The dataset used in this paper is medical images from various sources including magnetic resonance imaging (MRI) and computed tomography (CT), without the need for pixel-wise...

The dataset used for the diabetic retinopathy diagnosis and uncertainty quantification task.

The EyePACS dataset consists of 35,126 training images and 53,576 testing images only containing grading labels.

MIMIC-III is a large, publicly available clinical database containing information from the Medical Information Mart for Intensive Care III. It is used for various clinical...

The dataset used in this study consists of 25 sequences of CT images of patients affected by abdominal aortic aneurysm.

LIDC-IDRI dataset contains almost all the related information for low-dose lung CTs including several doctors' annotations on nodule sizes, locations, diagnosis results, nodule...

ACDC dataset contains 100 samples with the cavity of the right ventricle (RV), the myocardium of the left ventricle (MYO), and the cavity of the left ventricle (LV) to be...