Using patch-based 3D UNet with an ensemble of conventional and dilated convolution yield promising result, with a final dice score of 0.6911.doi:10.1007/978-3-030-67194-5_9Kanchan GhimireQuan ChenXue Feng
Patch-based 3D Natural Scene Generation from a Single Example O网页链接Weiyu Li, Xuelin Chen, Jue Wang, Baoquan ChenAI综述:该论文提出了一种基于单个样本的补丁级别生成3D自然场景模型的算法,并解决了从2D补丁模型扩展到3D场景生成时面临的挑战,达到了高质量、真实的几何结构和视觉外观的生成效果。同时,该算...
3dCT数据一般由于xyz三个方向（尤其z方向）切片的实际厚度不同，需要先重采样到同一个尺度，如1mm3/vo...
Submission for Multimodal Brain Tumor Segmentation Challenge 2017 (http://braintumorsegmentation.org/). A patch-based 3D U-Net model is used. Instead of predicting the class label of the center pixel, this model predicts the class label for the entire patch. A sliding-window method is used ...
Several 3D shape representations exist in the computer vision and computer graphics communities, such as point clouds, meshes, voxel grids and implicit functions. Learning-based approaches have mostly focused on voxel grids due to their regular structure, suited for convolutions. However, voxel grids...
3dCT数据一般由于xyz三个方向（尤其z方向）切片的实际厚度不同，需要先重采样到同一个尺度，如1mm3/...
Using patch-based 3D UNet with an ensemble of conventional and dilated convolution yield promising result, with a final dice score of 0.6911. 展开 关键词: Head and neck tumor segmentation Ensemble Patch-based segmentation 3D UNet Deep learning ...
The emerging discipline of plant phenomics aims to measure key plant characteristics, or traits, though as yet the set of plant traits that should be measured by automated systems is not well defined. Methods capable of recovering generic representations of the 3D structure of plant shoots from im...
动作识别经典C3D论文Learning Spatiotemporal Features with 3D Convolutional Networks的介绍 关于论文Learning Spatiotemporal Features with 3D Convolutional Networks的介绍 这篇论文提出了一个比较高效的C3D网络来提取视频的空间时间特征。相比于2D网络,3D网络能够 更好的提取特征,而且只需配合简单分类器就能够比当前多数...
An initial 3D point cloud is first described by a set of planar patches, each representing a small section of plant material, usually a segment of leaf. Image noise and the com- plexity of the plant will, however, typically lead to missing areas of leaf material, and poorly defined ...