91 datasets found

The NCI-ISBI 2013 challenge dataset

The dataset used in the paper is a set of sequential vision-and-language tasks, where each task consists of an image and a text input.

A recent study FairSeg proposes the first fairness dataset for medical segmentation, including 10,000 SLO fundus images from 10,000 patients with pixel-wise disc and cup...

Fairness is an important topic for medical image analysis, driven by the challenge of unbalanced training data among diverse target groups and the societal demand for equitable...

Cardiac MRI cine registration dataset

Cardiac MRI cine registration dataset

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 BraTS2018 database is a continually evolving database with a total of 285 glioblastoma or low-grade gliomas subjects, comprising three consecutive subsets, i.e., 30 subjects...

The dataset used for medical image anomaly detection, focusing on few-shot learning and anomaly synthesis.

Skin lesion segmentation dataset for PH2

Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.

The extended colorectal cancer grading dataset contains 300 H&E-stained colorectal cancer subtyping pathology images.

The vitiligo (public) dataset contains 672 training, 268 validation, and 401 test images.

The ISIC 2017 skin lesion classification dataset contains 2000 training, 150 validation, and 600 test images.

The dataset in this paper comes from the database of the Ultrasound Imaging Department of Peking University Shenzhen Hospital.

The dataset used in this paper for medical image segmentation, including images from the ISBI-2012 dataset.

The dataset used for testing was chosen based on their popularity for evaluating registration and variation in structure parcellation methods.

Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated...

A multi-site ovarian tumor MRI dataset for evaluating the performance of medical image segmentation models.

A multi-modality ovarian tumor ultrasound image dataset for unsupervised cross-domain semantic segmentation.