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
    • Introduction to DL and classification: Lecture and getting started
      • 1
        Lecture: Intro to DL for microscopy, classification and PyTorch
      • 2
        Getting started
        • Participant introductions
        • Setting up BAND, introducing first exercise on classification
    • 12:00
      Lunch
    • Introduction to DL and classification
      • 3
        First exercise: Cell classification
      • 4
        Recap first exercise
    • Segmentation & Pre-trained Models
      • 5
        Lecture: Semantic & Instance Segmentation (U-Net, StarDist, cellpose), pretrained models, denoising
      • 10:30
        Small break
      • 6
        Intro to exercises for Nucleus and Cell segmentation
    • 12:00
      Lunch
    • Segmentation & Pre-trained Models
    • Transfer Learning & Cell Segmentation
      • 7
        Lecture: T Transfer Learning & Instance Segmentation: CellPose. Data Annotation: Segment Anything. Other tools for DL in microscopy.
      • 8
        Work on third exercise
    • 12:00
      Lunch break
    • Transfer Learning & Cell Segmentation
      • 9
        Third and fourth exercise