Self

The FDA Just Approved a Brain Tumor Warning for This Form of Birth Control

If you took the warning label that comes with your birth control and tossed it right in the trash, you wouldn’t be alone. After all, every medication comes with a risk of side effects, and those ...
FOX 10 Phoenix

Prenuvo full-body MRI detects woman's brain tumor

A woman with a family history of cancer paid out-of-pocket for a full-body MRI scan (Prenuvo) as a proactive health measure. The scan detected a walnut-sized brain tumor in her temporal lobe, a rare ...
Frontiers

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

Department of Radiology, Children’s Hospital of Chongqing Medical University, Chongqing, China Objective: Focal cortical dysplasia (FCD) and dysembryoplastic neuroepithelial tumor (DNET) are two major ...
Frontiers

Lightweight CNN for accurate brain tumor detection from MRI with limited training data

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...
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 ...
PNAS

OMT and tensor SVD–based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study

Accurate characterization of glioma is essential for effective clinical decision-making. Most current studies involve a limited number of patients and focus solely on single-gene tasks. This research ...
GitHub

brain-tumor-detection

This repository is the official code for the paper "Enhanced MRI Brain Tumor Detection and Classification via Topological Data Analysis and Low-Rank Tensor Decomposition" by Serena Grazia De ...