Artificial intelligence for imaging data visualization and analysis to accelerate time-to-result. Imaging data processing, segmentation, and classification using Machine and Deep Learning …

Various deep learning methods were introduced for solving classification and retrieval problems of 3D objects. Almost all view-based methods use many views to handle spatial loss, although …

Sep 23, 2020 · This example will show the steps needed to build a 3D convolutional neural network (CNN) to predict the presence of viral pneumonia in computer tomography (CT) …

Mar 20, 2020 · In this work, the performance of deep learning methods on different 3D data representations has been reviewed. Based on the categorization of the different 3D data …

Jan 12, 2018 · In this blog post, we explore this dataset and empirically compare the performance of various machine learning and deep learning based algorithms for the classification of 3D digits.

Dec 1, 2021 · Machine learning algorithms working with 3D images have a powerful ability to visualize 3D objects. This ability was evaluated using gold particles, and it proved that the …

May 18, 2024 · It serves as a comprehensive review on two major tasks in 3D point cloud processing—namely, 3D shape classification and semantic segmentation.

We test two main architectures for 3D object classification: one based on PointCloud data and one based on Voxel data. Moreover, we test a further approach, based on autoencoder …

We propose an initial exploration of an interactive machine-learning (IML) dialogue in immersive, interactive Virtual Reality (VR) for the classification of points in 3D point clouds.

Jun 9, 2023 · Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful …