Plug-and-play AI recognizes 18 cancer types from just a handful of slides

A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial ...
Columbia Basin Herald

Moses Lake baby fights brain tumor

MOSES LAKE — Little Aylanie Reyes has been at Seattle Children’s Hospital since March 13, battling a brain tumor. She’s putting up a good fight, but it’s not easy, said her dad, Ricardo Reyes. “She’s ...
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 ...
Frontiers

MRI-based radiomics model for differentiating focal cortical dysplasia from dysembryoplastic neuroepithelial tumor in epileptic children

Focal cortical dysplasia (FCD) and dysembryoplastic neuroepithelial tumor (DNET) are two major causes of intractable epilepsy, often with confusing imaging findings. This study aimed to develop ...
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 ...