MVTN: Learning Multi-View Transformations for 3D Understanding

MVTN: Learning Multi-View Transformations for 3D Understanding

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...

Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks

Research Report on Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer: A Study of Multi-View Adaptive Weighted Graph Convolutional Networks Background Introduction Lung cancer is a highly prevalent and poorly prognostic malignant tumor with a persistently high mortality rate. Among all lung cancer patients, Non-Small Cell Lung Cancer ...