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...