mri-workshop-machine-learning

Workshop:
Bioimage analysis applications based on machine learning

• Day 1, part 1
  • Content
    • Introduction
    • Features and scale-space
    • Ilastik
    • Clustering
  • Materials
    • Slides day 1, part 1
    • Exercises day 1, part 1
    • images for the first part of the workshop
• Day 2, part 1
  • Content
    • Jupyter Notebooks
    • The Python Programming Language
    • Python Crash Course
    • k-means clustering in python
  • Extra
    • Deep Learning Experiment
• Day 2, part 2
  • Exercise - Support Vector Machines
  • Exercise - Cell Profiler Analyst
  • Material
    • Slides - Support Vector Machines & Random Forest
    • Images and CP-workflow for the exercises
• Day 2, part 3
  • DL Ex1_Clusterization_linearly_separated
  • DL Ex2_Clusterization_not_linearly_separated_parabola
  • DL Ex3_Clusterization_not_linearly_separated_spiral
  • Materials
    • Introduction_deep_learning_part1_2022.pdf
• Day 3
  • DL Ex4_MNIST_dense_vs_convolutional_nn
  • DL Ex5_RBC_image_classification
  • DL Ex6_bacteria_segmentation_with_Unet
  • DL_Ex7_nuclei_segmentation_with_StarDist
  • Materials
    • Introduction_deep_learning_part2_2022.pdf