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Lecture
Batch Processing: Folder & Macro
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Related lectures (29)
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Image Processing I
Covers the basics of image processing and its applications in various fields.
Results Tables: Managing and Saving Data
Covers setting measurements, managing results, using macro language functions, getting statistics, and saving results as CSV files.
Image Analysis Workflow: Batch Processing
Covers regions of interest, unbiased experiments, results storage, and batch image analysis.
Regions of Interest: Manipulation and Applications
Explores the significance of ROIs in measurements and how to manipulate them.
Image Processing I: Composition, Pooling, Continuity, and Denoising
Explores composition, pooling, continuity, denoising, and popular CNN architectures for image segmentation in image processing.
Concept-Based Image Systems
Explores concept-based, named entity-based, and perspective connections-based image systems, emphasizing the analysis of graphics and visual relationships between images.
Shape from Shading: Recovering 3D Information from 2D Images
Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.
Intensity and Localization Analysis
Discusses analyzing intensity and localization in images with fluorescent channels for protein expression changes.
Image Classification: Decision Trees & Random Forests
Explores image classification using decision trees and random forests to reduce variance and improve model robustness.
Digital Images and Visual Perception
Covers the definition of digital images, image formation, classification by bit depth, and image analysis.
