Add Yahoo as a preferred source to see more of our stories on Google. “Hi tumor, I’m the person whose brain you are currently living in,” a smiling Feltham says alongside her boyfriend, Stef Winder, ...

Abstract: Accurate liver and tumor segmentation in CT images is vital for diagnosis and treatment planning. This study presents SegResNet_2335, a lightweight 3D residual network optimized for ...

Leveraging Digital Technology and Artificial Intelligence to Describe the Real-World Belgian Chronic Lymphocytic Leukemia Patient Population: The BE-CLLEAR Study We analyzed 21,364 pathology reports ...

Exploring the Past and Current Landscape of Biomarker-Driven Clinical Trials Through Large Language Models First, we pretrained the encoder of a transformer-based network using a self-supervised ...

Early identification of the primary tumor types in brain metastases (BMs) is crucial for developing effective treatment strategies. This study aimed to evaluate the potential of multiparametric MRI ...

1 in 4 sexually active women has used injectable birth control, administered into the muscle by a clinician, but many may be unaware of its association with meningioma, the most common brain tumor in ...

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. Subscribe to ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...

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 ...

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 ...