Study Finds

From Alzheimer’s to Brain Tumors: One AI Model That Spans Brain MRI Tasks

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.
Science Daily

Mapping the secret escape routes of deadly brain tumors

Glioblastoma’s stealthy spread has met a new challenge: MRI-powered fluid flow mapping that reveals where the cancer is likely to invade next. The innovation is now being advanced by a spinoff company ...
IEEE

GA-UNet: Genetic Algorithm-Optimized Lightweight U-Net Architecture for Multi-Sequence Brain Tumor MRI Segmentation

Abstract: Brain tumor segmentation plays a critical role in accurate diagnosis and treatment planning but remains challenging due to complex tumor boundaries and variations across MRI sequences.
Cancer Research

A Practical Strategy of Informatics, Geospatial Mapping, Geodemographic Segmentation, and Regression Analyses to Address Nonadherence to Colorectal Cancer Screening

1Preventive Medicine, Veterans Affairs Loma Linda Healthcare System, Loma Linda, California. 2Loma Linda University School of Public Health, Loma Linda, California.
IEEE

3D Convolutional Neural Networks for Brain Tumor Analysis in Multimodal MRI: A Systematic Review

Abstract: Convolutional neural networks (CNNs) have emerged as a preferred approach for medical image analysis. The dimensionality of images is a principal factor in CNN models, as they are designed ...