Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in Gliomas from MRI

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurosurgery, Medical Imaging, Oncology,
gliomas   IDH prediction   multi-level features   MRI   feature fusion  

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in MRI Background Glioma is the most common malignant primary brain tumor in adults. According to the 2021 World Health Organization (WHO) classification of tumors, genotype plays a significant role in the classification of tumor subtypes, especially the isocitrate dehy...

Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
normalizing flow   pharmacokinetic parameters   dynamic contrast-enhanced MRI   maximum likelihood estimation   posterior distribution  

In modern medical diagnostics and clinical research, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) technology provides significant information regarding tissue pathophysiology. By fitting a Tracer-Kinetic (TK) model, pharmacokinetic (PK) parameters can be extracted from time-series MRI signals. However, these estimated PK parameter...

A Siamese-Transport Domain Adaptation Framework for 3D MRI Classification of Gliomas and Alzheimer’s Diseases

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology,
3D MRI   Gliomas   Alzheimer's Disease   Domain Adaptation   Deep Learning  

Classification of 3D MRI Gliomas and Alzheimer’s Disease Based on the Siamese-Transport Domain Adaptation Framework Background In computer-aided diagnosis, 3D magnetic resonance imaging (MRI) screening plays a vital role in the early diagnosis of various brain diseases, effectively preventing the deterioration of the condition. Glioma is a common m...

Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
brain tumor classification   deep learning   ensemble learning   multiclass classification   transfer learning   explainable AI   vision transformers  

In recent years, due to the high incidence and lethality of brain tumors, rapid and accurate detection and classification of brain tumors have become particularly important. Brain tumors include both malignant and non-malignant types, and their abnormal growth can cause long-term damage to the brain. Magnetic Resonance Imaging (MRI) is a commonly u...

Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma after Tumor Resection

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
brain   glioma   growth model   magnetic resonance imaging   validation  

Research Review on the Predictive Value of Low-Grade Glioma Postoperative Growth Models Introduction Glioma is an aggressive brain tumor whose cells rapidly diffuse within the brain. Understanding and predicting the pattern and speed of this diffusion can help optimize treatment plans. Glioma growth models based on diffusion-proliferation have show...