AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading

AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading

Information Science, Artificial Intelligence, Medicine, Neurosurgery, Medical Imaging, Oncology,
Artificial Intelligence   Radiomics   Magnetic Resonance Imaging   Brain Tumors   Computer-Aided Diagnosis   Image Segmentation   Glioma Grading  

AI-Assisted Radiomics Algorithm for Glioma Grading Based on Slice Pooling Background Introduction Glioma is the most common and threatening tumor in the central nervous system, characterized by high incidence, high recurrence rates, high mortality, and low cure rates. The World Health Organization (WHO) classifies gliomas into four grades (I, II, I...

Gliomas Disease Prediction: An Optimized Ensemble Machine Learning-Based Approach

Information Science, Computer Science, Artificial Intelligence, Medicine, Oncology,
brain tumor   glioma   machine learning   feature selection   prognosis   prediction   ensemble model  

Glioma Disease Prediction Based on Optimized Integrated Machine Learning Background and Research Objectives In medical research, gliomas are the most common type of primary brain tumors, encompassing various cancer types with different clinical behaviors and treatment outcomes. Accurate prognosis prediction for glioma patients is crucial for optimi...

Noninvasive Grading of Glioma by Knowledge Distillation Based Lightweight Convolutional Neural Network

Information Science, Artificial Intelligence, Medicine, Neurosurgery, Oncology,
knowledge distillation   glioma grading   convolutional neural network   lightweight model   image classification  

Review of Non-Invasive Glioma Grading Research: Lightweight Convolutional Neural Networks Based on Knowledge Distillation Background Gliomas are the main tumors of the central nervous system, and early detection is crucial. The World Health Organization (WHO) classifies gliomas from grade I to IV, with grades I and II being low-grade gliomas (LGG) ...

Multimodal Disentangled Variational Autoencoder with Game Theoretic Interpretability for Glioma Grading

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
Multimodal MRI   Glioma Grading   Variational Autoencoder   Image Fusion   Explainable AI   Radiomics   Machine Learning  

Application of Multi-modal Disentangled Variational Autoencoder and Game Theory Interpretability in Glioma Grading Background Gliomas are the most common primary brain tumors in the central nervous system. According to cellular activity and invasiveness, the World Health Organization (WHO) classifies them into grades I to IV, with grades I and II r...

A Fully Automated Multimodal MRI-Based Multi-task Learning for Glioma Segmentation and IDH Genotyping

A Fully Automated Multimodal MRI-Based Multi-task Learning for Glioma Segmentation and IDH Genotyping

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology, Life Sciences, Genetics,
multi-task learning   semi-supervised   glioma segmentation   IDH genotyping   transformer  

Research Report on Fully Automated Multimodal MRI Multi-task Learning for Glioma Segmentation and IDH Gene Typing Background of the Study Glioma is the most common primary brain tumor in the central nervous system. According to the World Health Organization (WHO) 2016 classification, gliomas are divided into low-grade gliomas (LGG, grades II and II...

An Attention-Guided CNN Framework for Segmentation and Grading of Glioma Using 3D MRI Scans

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology,
glioma   convolutional neural network   segmentation   magnetic resonance imaging   multi-task learning   attention mechanism  

Study of Attention-Guided CNN Framework for 3D MRI Glioma Segmentation and Grading Gliomas are the most deadly form of brain tumors in humans. Timely diagnosis of these tumors is a crucial step for effective tumor treatment. Magnetic Resonance Imaging (MRI) typically provides a non-invasive examination of brain lesions. However, manual inspection o...