Frontiers

A scalable and reliable deep learning framework for enhanced brain tumor detection and diagnosis using AI-based medical imaging

This paper proposes a bilayer deep learning framework that automatically detects brain tumors from MRI scans. This approach couples the image segmentation module (DeepLabV3) to precisely locate the ...
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
NBC News

Is Depo-Provera birth control to blame for this woman’s brain tumor? A lawsuit alleges Pfizer failed to warn of potential risk

WESTWEGO, La. — Robin Phillip’s fresh haircut is dyed her favorite color — green. But beneath the dye job is a scar that runs along the side of her head, the result of two craniotomies. For years, ...
ascopubs.org

Using Circulating Tumor DNA–Based Molecular Residual Disease Detection for Postoperative Monitoring in Early-Stage Uterine Cancer

Retrospective analysis of ctDNA results from real-world data was performed for 61 patients (233 plasma time points) diagnosed with early-stage UC. ctDNA status and dynamics were assessed using a ...
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 ...
ascopubs.org

Enhanced Detection of Druggable Mutations in Non–Small Cell Lung Cancer Using Targeted Collection of Bronchial Washing Fluid Compared With Plasma and Tumor Tissue

All study participants simultaneously underwent NGS using three sample types: (1) BWF, (2) plasma, and (3) tumor tissue collected during bronchoscopy. The full patient set (FPS) included all enrolled ...
IEEE

Image Segmentation for MRI Brain Tumor Detection Using Advance AI algorithm

Abstract: The existence of a brain tumor indicates an unusual growth of cells in the brain, manifesting as either benign (non-cancerous) or malignant (cancerous). Artificial Intelligence (AI) plays a ...
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 ...