Approaching Coupled-Cluster Accuracy for Molecular Electronic Structures with Multi-Task Learning

Machine Learning Boosts Quantum Chemistry: Predicting Molecular Electronic Structures Approaching Coupled-Cluster Accuracy Academic Background In physics, chemistry, and materials science, computational methods are key tools for uncovering the mechanisms behind diverse physical phenomena and accelerating materials design. However, quantum chemistry...

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

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

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...