MVTN: Learning Multi-View Transformations for 3D Understanding

MVTN: Learning Multi-View Transformations for 3D Understanding

Information Science, Artificial Intelligence,
multi-view   3D shape recognition   deep learning   3D point clouds   segmentation   rendering   model optimization  

Multi-View Transformation Network (MVTN): New Advances in 3D Understanding Research Background and Motivation Recent advancements in deep learning for 3D data in computer vision have achieved significant success, particularly in tasks like classification, segmentation, and retrieval. However, effectively utilizing 3D shape information remains a cha...

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...