7 datasets found

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning

Multiple Sclerosis (MS) is a neurodegenerative disorder characterized by a complex set of clinical assessments. We use an unsupervised machine learning model called a...

The dataset used in this paper is a collection of T1, T2, and T2-FLAIR images acquired at a 3T SIEMENS scanner from 170 MS patients.

The dataset used in this paper is a collection of T1, T2, and T2-FLAIR images acquired at a 3T GE scanner from 30 MS patients.

The MSLUB dataset consists of brain MRI scans of 30 patients with multiple sclerosis.

A dataset of multiple sclerosis lesions for evaluation of segmentation algorithms.

A dataset of 141 subjects (44 controls and 97 patients with MS) for automatic segmentation of choroid plexus in multiple sclerosis