AI DIFFUSION MODEL-BASED TECHNOLOGY FOR AUTOMATING THE MULTI-CLASS LABELING OF ELECTRON MICROSCOPY DATASETS OF BRAIN CELL ORGANELLES FOR THEIR AUGMENTATION AND SYNTHETIC GENERATION

AI Diffusion Model-Based Technology for Automating the Multi-Class Labeling of Electron Microscopy Datasets of Brain Cell Organelles for Their Augmentation and Synthetic Generation

A technology for the automatic multi-class labeling of brain electron microscopy (EM) objects needed to create large synthetic datasets, which could be used for brain cell segmentation tasks, is proposed.The main research tools were a generative diffusion AI model and a U-Net-like segmentation model.The technology was studied on the segmentation ta

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PREFACE: TECHNICAL COMMISSION II

ISPRS Technical Commission II focuses, at various scales, on geometric, radiometric and multi-temporal aspects of image- and range-based 3D surveying and modeling.Specifically, Commission II deals with image orientation, point cloud generation and processing, 3D feature extraction, dynamic and static scene analysis, sensor and data fusion, and mach

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Nanobiotechnology with Therapeutically Relevant Macromolecules from Animal Venoms: Venoms, Toxins, and Antimicrobial Peptides

Some diseases of uncontrolled proliferation such as cancer, as well as infectious diseases, are the main cause of death in the world, and their causative agents Stock Pots have rapidly developed resistance to the various existing treatments, making them even more dangerous.Thereby, the discovery of new therapeutic agents is a challenge promoted by

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