Brain tumors pose a major challenge in neuro-oncology due to their high mortality rates and complex diagnosis. This review summarizes recent advances in using artificial intelligence (AI), ...

ThedaCare has a new, minimally invasive treatment for brain tumors and lesions using MRI-guided laser technology. It's the first health system to offer the treatment in northeastern Wisconsin. The ...

The term “brain tumor” carries a particularly scary connotation. And if you’re a fan of TV medical dramas, you may think they’re quite common. However, less than 1% of Americans are living with a ...

Deep Learning Based Brain Tumor Detection Using MRI Images is a system that detects tumors from MRI scans using image preprocessing, segmentation, and a Convolutional Neural Network (CNN). It ...

Abstract: Medical image segmentation is a critical initial step in clinical diagnosis and treatment planning. Traditional thresholding methods often struggle with low contrast and noise, which are ...

Artificial intelligence is making its mark on the future of cancer care. One of the newest applications for the technology is pinpointing hard-to-detect breast cancer. Researchers at Ohio State ...

Abstract: Brain tumor disease is a serious disorder of brain function and has the potential to cause death if diagnosed too late. Brain tumors can be diagnosed using Machine Learning segmentation ...

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 ...

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, ...