Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides

Information Science, Computer Science, Medicine, Medical Laboratory Science,
glioma   low-grade glioma   deep learning   histology   image processing   machine learning  

Useful Features for Overall Survival Prediction in Low-Grade Glioma Patients Academic Background Glioma is a type of neoplastic growth in the brain that usually poses a serious threat to the patients’ lives. In most cases, glioma eventually leads to the death of the patient. The analysis of glioma typically involves examining pathological slices of...

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features from Multiparametric MRI Images

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology,
glioma grade   radiomics   intratumoral volumes   peritumoral volumes   multiparametric MRI   noninvasive  

“Prediction of Glioma Grades Based on Radiomic Features Inside and Outside Tumors Using Multiparametric MRI Images” Research Background Glioma is the most common primary brain tumor in the central nervous system, accounting for 80% of adult malignant brain tumors. In clinical practice, treatment decisions often require individualized adjustments ba...

Self-Attention Similarity Guided Graph Convolutional Network for Multi-type Lower-Grade Glioma Classification Research

Self-Attention Similarity Guided Graph Convolutional Network for Multi-type Lower-Grade Glioma Classification Research

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
low-grade glioma   brain tumor classification   3D brain MRI   graph convolutional network   self-attention  

Graph Convolutional Network Based on Self-Attention Similarity for Multi-type Low-Grade Glioma Classification 1. Research Background Low-grade glioma is a common malignant brain tumor caused by the cancerous transformation of glial cells in the brain and spinal cord. Gliomas are characterized by high incidence, high recurrence rate, high mortality ...

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...

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...