News

Cancer diagnosis on your laptop? New artificial intelligence model makes it possible
Imagine diagnosing cancer not with a supercomputer but on an ordinary laptop instead. Sounds like science fiction? Thanks to ...
News-Medical.Net1d
AI model diagnoses lung cancer using just a laptop
Imagine diagnosing cancer not with a supercomputer but on an ordinary laptop instead. Sounds like science fiction? Thanks to ...
AI model achieves expert-level accuracy in non-invasive breast cancer diagnosis using MRI data
Researchers from the Hong Kong University of Science and Technology (HKUST) have developed Mixture of Modality Experts (MOME) ...
News-Medical.Net1d
Using Swarm Learning approach to aid doctors in treating stroke patients
Researchers at DZNE and the Department of Vascular Neurology at the University Hospital Bonn (UKB) aim to develop a computer ...
European Medical Journal1d
AI Framework Forecasts Brain Age and Cognitive Decline
Deep-learning models analyzing MRI scans predict brain age, cognition, and amyloid pathology with high accuracy—offering a ...
IEEE1d
Feature Fusion Based Effective Brain Tumor Detection Approach Using MRI
Abstract: Early identification of brain tumors greatly influences the clinical diagnosis process of a brain tumor patient. Therefore, this study suggests a brain tumor detection ... trained deep CNN ...
IEEE2d
Detection of Brain Tumor and Identification of Tumor Region Using Deep Neural Network On FMRI Images
Detection of brain tumor is a challenging task in the early stages. Still, with the help of modern technology and machine learning algorithms, it has become ... We use a Convolutional Neural ...
IEEE4d
A Novel Deep CNN Model for Classification of Brain Tumor from MR Images
Abstract: the segmentation of brain ... tumors. MR images are initially resized, cropped, preprocessed, and augmented for accurate and rapid training of deep convolutional neural network (CNN) models.
IEEE4d
Brain Tumor Image Segmentation Based on Deep Neural Network (CNN, VGG-16 and RESNET-50)
Abstract: The automatic segmentation of brain tumors from Magnetic Resonance imaging (MRI) presents a formidable challenge in the realm of computer vision. Various deep neural networks CNN, and VGG-16 ...
IEEE7d
Brain Tumor Classification with Improved Accuracy in MRI Pictures Using CNN and its Comparison with SVM
Abstract: The study’s main objective is to detect brain tumors ... images using CNN and comparing it to SVM. Materials and Methods: We gathered 40 examples of varied MRI images from a dataset that is ...
IEEE9d
Advancing Brain Tumor Classification Using CNN and eXtreme Gradient Boosting
Abstract: This study proposes an innovative hybrid approach for the identification of Brain Tumors (BT) with the help of ... This integrated framework showcases the synergy between deep learning and ...
IEEE10d
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models
The use of Artificial Intelligence (AI) to automate cancer detection might allow us to evaluate more cases in less time. In this research, AI-based deep learning models are proposed to classify the ...