3D hybrid imaging system could address limitations of MRI, CT and ultrasound

In a proof-of-concept study, researchers from the Keck School of Medicine of USC and the California Institute of Technology ...
Frontiers

CausalX-Net: a causality-guided explainable segmentation network for brain tumors

Brain tumors represent a significant health challenge in India, with approximately 28,000 new cases diagnosed annually. Conventional deep learning approaches for MRI-based segmentation often struggle ...
Live Science

Scientists used AI to map uncharted areas of the mouse brain

Using a ChatGPT-like AI model, scientists have created a new map of the mouse brain that captures previously uncharted areas of the organ in unprecedented detail. The map, published Tuesday (Oct. 7) ...
Scientific Research Publishing

Enhanced Liver Tumor Detection in CT Images Using 3D U-Net and Bat Algorithm for Hyperparameter Optimization ()

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...
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 ...
Frontiers

Brain tumor segmentation using deep learning: high performance with minimized MRI data

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...
CBS News

A misplaced MRI found a tumor on her spine. Doctors removed it through her eye in a first-of-its-kind surgery.

Karla Flores was 18 when she started experiencing double vision. She knew something was wrong but struggled to find a diagnosis. Finally, she saw an ophthalmologist who referred her to a neurosurgeon.