Deep Learning for Image Analysis

Europe/Berlin
European Neuroscience Institute Göttingen

European Neuroscience Institute Göttingen

ENI-G, Grisebachstr. 5, 37077 Göttingen
Constantin Pape (UMIN), Antonio Politi (Facility for Light Microscopy, MPI-NAT, Göttingen)
Registration
Registration for the course Deep Learning for Image Analysis
    • 09:00 12:00
      Introduction to DL and classification: Lecture and getting started
      • 09:00
        Lecture: Intro to DL for microscopy, classification and PyTorch 1h 30m
      • 10:30
        Getting started 1h 30m
        • Participant introductions
        • Setting up BAND, introducing first exercise on classification
    • 12:00 12:45
      Lunch 45m
    • 12:45 17:00
      Introduction to DL and classification
      • 12:45
        First exercise: Cell classification 3h 30m
      • 16:15
        Recap first exercise 45m
    • 09:00 12:00
      Segmentation & Pre-trained Models
      • 09:00
        Lecture: Semantic & Instance Segmentation (U-Net, StarDist, cellpose), pretrained models, denoising 1h 30m
      • 10:30
        Small break 15m
      • 10:45
        Intro to exercises for Nucleus and Cell segmentation 1h 15m
    • 12:00 12:45
      Lunch 45m
    • 12:45 17:00
      Segmentation & Pre-trained Models
    • 09:00 12:00
      Transfer Learning & Cell Segmentation
      • 09:00
        Lecture: T Transfer Learning & Instance Segmentation: CellPose. Data Annotation: Segment Anything. Other tools for DL in microscopy. 1h 30m
      • 10:30
        Work on third exercise 1h 30m
    • 12:00 12:45
      Lunch break 45m
    • 12:45 17:00
      Transfer Learning & Cell Segmentation
      • 12:45
        Third and fourth exercise 2h 30m