Exploring adult glioma through MRI: A review of publicly available datasets to guide efficient image analysis.

ABSTRACT:

Background

Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.

Methods

In this review, we searched for public datasets of glioma MRI using Google Dataset Search, The Cancer Imaging Archive, and Synapse.

Results

A total of 28 datasets published between 2005 and May 2024 were found, containing 62 019 images from 5515 patients. We analyzed the characteristics of these datasets, such as the origin, size, format, annotation, and accessibility. Additio

SUBMITTER: Abbad Andaloussi M 

PROVIDER: S-EPMC11773385 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature