IEEE

MRI Image Analysis for Brain Tumor Detection Using Convolutional Neural Network

Abstract: Brain tumors are a dangerous type of cancer with one of the lowest chances of being alive after five years. Magnetic resonance imaging (MRI) is frequently used by neurologists to determine ...
GitHub

MCP Framework for MATLAB Production Server

Publish your MATLAB® functions to MATLAB Production Server™ as Model Context Protocol (MCP) tools. This allows AI agents to call your functions, enhancing their capabilities with domain-specific ...
IEEE

Brain Tumor Detection Using Vision Transformers on Magnetic Resonance Imaging (MRI) Images

Abstract: A brain tumor occurs when there is abnormal growth of brain cells. Radiologists and physicians use magnetic resonance imaging (MRI) to diagnose these cases, but manual analysis has proven to ...
Frontiers

Multi-channel multiphase CT-based deep learning and radiomics fusion model for noninvasive pathological grading of clear cell renal cell carcinoma

Purposes: To develop a combined model integrating multi-channel deep learning features, radiomics features, and clinical variables for noninvasive pathological grading of clear cell renal cell ...
Reuters

Exclusive: India proposes forcing smartphone makers to give source code in security overhaul

NEW DELHI, Jan 12 (Reuters) - India proposes requiring smartphone makers to share source code with the government and make several software changes as part of a raft of security measures, prompting ...
Frontiers

Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification

Department of Biomedical Engineering and Health, KTH Royal Institute of Technology, Stockholm, Sweden Introduction: The classification of lesion types in Digital Breast Tomosynthesis (DBT) images is ...