Deep learning model classifies brain tumors with single MRI scan. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2021 / 08 / 210811100807.htm ...

All PIMs and RIMs were correctly detected and segmented by CAD in the original MRI (cyan contours), with zero false positives. (Courtesy: Devon Godfrey, Duke University) Researchers at Duke University ...

This AI toolkit uses deep learning algorithms for its segmentation of tumors into four tissue categories consisting of non-tumoral, enhancing proliferative, peritumoral edema, and necrotic.

Diffusion MRI and machine learning models classify childhood brain tumours. The CNN demonstrated good generalization capability, scoring an accuracy of 91.95% on the external test data. The results ...

While deep learning-based segmentation methods have demonstrated state-of-the-art performance, they often rely on vast amounts of labeled data, which is expensive and time-consuming to obtain.

Researchers develop a deep learning framework to accelerate ultra-low-field brain ... Su S, et al. Deep learning enabled fast 3D brain MRI at 0.055 tesla. Sci Adv. 2023, DOI: 10.1126/sciadv ...