With the HSA Workshops, HS Analysis provides specialized training for engineers and medical professionals to learn artificial intelligence in image processing with a focus on deep learning applications. Engineers and Doctors can learn to collaborate with HSA KIT for an interactive, efficient learning experience. Upon workshop completion, participants will receive certification in deep learning implementation skills.
Course options include:
- Artificial Intelligence
- Deep Learning
- Classification, Object Detection, Segmentation and Instance Segmentation
- Hyperparameter Optimization
- Metrics for Deep Learning Models
- Image Analysis of Medical Data
Current workshops:
Date start: 15 December 2025
Date end: 19 December 2025
Workshop for implementation own deep learning models for image processing with deep learning.
Day 1
Duration: 8 hours
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Introduction
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Basics of medical imaging
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Basics of artificial intelligence
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Basics of machine learning
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Basics of deep learning
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Types of general images in medicine
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Types of deep learning technologies
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Summary
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Discussion
Day 2
Duration: 8 hours
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Ground truth data (GTD)
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Types of GTD for single deep learning technologies
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Protocols for creating GTD (HSA GTD Protocol)
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Required minimal amount and quality of GTD
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Introduction to the HSA KIT module Annotator
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Practical work and creation of GTD with HSA KIT
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Discussions and correction of created GTD during the process
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Summary
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Discussion
Day 3
Duration: 8 hours
- Introduction to hyperparameters with HSA KIT for:
- Classification
- Object Detection
- Segmentation
- Instance Segmentation
- Practical work and training of deep learning models with HSA KIT for
- Classification
- Object Detection
- Segmentation
- Instance Segmentation
- Discussion
- Summary
Day 4
Duration: 8 hours
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Basics of metrics
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Basics of metrics for each deep learning category
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Interpretation of metrics
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Decision for the best deep learning model based on metrics
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Decision for the best deep learning model based on visual results
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Practical work on all trained deep learning models and decision for the best model for each deep learning technology
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Discussion
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Summary
Day 5
Duration: 8 hours
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Automated image analysis with HSA KIT
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Module selection
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Project creation
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Use of deep learning models
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Settings for deep learning models
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Processing of big data
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Quantification results
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Archiving
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Reuse of existing projects
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Foundation of objective, reproducible, and sustainable image analysis on medical images
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Discussion
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Summary
Participants of the workshop will get the certification about their skills for creating their own deep learning models for medical image analysis.
Old Workshops:
Location:
HS Analysis GmbH
Haid-und-Neu-Straße 7
76131 Karlsruhe
Germany