MRI reveals cerebrospinal fluid shifts after mild brain injury

Researchers at University of Tsukuba have found that cerebrospinal fluid (CSF) microdynamic motion shows region-specific ...
Frontiers

Frontiers in Artificial Intelligence

Brain tumors pose a major challenge in neuro-oncology due to their high mortality rates and complex diagnosis. This review summarizes recent advances in using artificial intelligence (AI), ...
AllHipHop

Deon Cole Asks God To Save Nicki Minaj’s Brain During NAACP Image Awards

Deon Cole transformed his NAACP Image Awards hosting gig into a comedy roast targeting Nicki Minaj’s recent political controversies. Deon Cole turned the NAACP Image Awards into his personal comedy ...
Psychology Today

AI Foundation Model Predicts Diseases From Brain Scans

The human brain is complex. Artificial intelligence (AI) machine learning and medical imaging data are accelerating breakthroughs in brain health, especially in medical diagnostics. A peer-reviewed ...
GitHub

sarah-antillia/TensorFlow-FlexUNet-Image-Segmentation-Brain-Tumor-MRI

As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. This repository contains a curated and enhanced version of brain ...
Frontiers

A deep learning-based automatic segmentation model for diffuse midline glioma with H3K27M alteration

Diffuse midline glioma (DMG) is a fatal tumor that emerges in the brainstem and thalamus. Compared with microsurgery and chemotherapy, radiotherapy is currently regarded as a safer and more effective ...
Scientific Research Publishing

Soltaninejad, M., Zhang, L., Lambrou, T., Yang, G., Allinson, N. and Ye, X. (2019) MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks. arXiv ...

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
IEEE

Masked and Noise-Masked Multimodal Brain Tumor Image Segmentation Using SegFormer and Shared Encoder Framework

Abstract: Medical image segmentation is a critical task in clinical diagnosis and treatment, particularly for brain tumor analysis using imaging modalities such as Magnetic Resonance Imaging (MRI) and ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...