AI Visualization with CT
Mar 04, 2025
Given a CSV file containing category names, (x, y) coordinates, and density values, generate a heatmap-based DICOM Image and DICOM Segmentation files for visualization in VolView.
Steps: Data Normalization: Normalize x, y coordinates to the range [0,1]. Normalize density values using the formula: df[“z”] = np.log1p(df[“z”] - zmin) / np.log1p(zmax - zmin) Category-wise Density Accumulation: Generate heatmaps for each category by applying Gaussian smoothing with sigma = 0.
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Old
Mar 04, 2025
Experience
Develop PRM (Product Roadmap) and TRM (Technology Roadmap)
Customize Agile-Based Software Development Processes
Create and maintain project documentation
Build and manage software product quality checklists
Analyze and evaluate software development team members' competencies
Set up PACS (Picture Archiving and Communication System) server/client development environments using DCMTK
Design directory and file structures for storing DICOM (Digital Imaging and Communications in Medicine) and related files
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