Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Diffraction experiment3
    • Imaging3
    • Microscopy3
    • Microscopy imaging3
    • Optical super resolution microscopy3
    • Photonic force microscopy3
    • Photonic microscopy3
    • Active learning1
    • Biodiversity1
    • Bioimaging1
    • Biological imaging1
    • Data analysis1
    • Data architecture1
    • Data architecture, analysis and design1
    • Data clean-up1
    • Data cleaning1
    • Data design1
    • Data integrity1
    • Data quality1
    • Data quality management1
    • Ensembl learning1
    • FAIR data1
    • Findable, accessible, interoperable, reusable data1
    • Kernel methods1
    • Knowledge representation1
    • Light microscopy1
    • Machine learning1
    • Medical imaging1
    • Neural networks1
    • Neuroimaging1
    • Nuclear medicine1
    • Radiology1
    • Recommender system1
    • Reinforcement learning1
    • Supervised learning1
    • Unsupervised learning1
    • Show N_FILTERS more
    • Tool
    • Galaxy3
    • Galaxy Image Analysis2
    • scikit-image2
    • BIIGLE1
    • PyTorch1
    • Show N_FILTERS more
    • Content provider
    • GTN3
    • de.NBI1
    • Show N_FILTERS more
    • Keyword
    • R331
    • Genomics169
    • Transcriptomics161
    • Python149
    • RNA-seq128
    • Next generation sequencing119
    • Data management104
    • Bioinformatics98
    • Statistics80
    • FAIR data78
    • FAIR69
    • Galaxy Server administration68
    • Machine learning68
    • Reproducibility68
    • Data science67
    • Unix/Linux62
    • Single-cell sequencing61
    • Proteomics56
    • Workflows55
    • jupyter-notebook55
    • Data visualization52
    • Version control52
    • Foundations of Data Science50
    • Variant analysis50
    • data management48
    • biodiversity47
    • metagenomics47
    • Development in Galaxy45
    • Statistics and machine learning45
    • Genome assembly43
    • Galaxy41
    • Single Cell41
    • microgalaxy41
    • Metagenomics39
    • training39
    • General36
    • Genome annotation36
    • Rare Diseases & Research36
    • FAIR Data, Workflows, and Research33
    • QC33
    • Microbiome32
    • Nextflow32
    • Genome Annotation31
    • Ecology30
    • programming30
    • Assembly28
    • FAIR principles28
    • Genome28
    • Metadata28
    • Molecular28
    • Alignment27
    • Contributing to the Galaxy Training Material27
    • Data analysis27
    • Phylogenetics27
    • Using Galaxy and Managing your Data27
    • biohackaton 201827
    • Epigenetics26
    • Long read sequencing26
    • RDM26
    • bioinformatics26
    • Docker25
    • Data reuse24
    • High performance computing24
    • Annotation23
    • Containerization23
    • data stewardship23
    • ChIP-seq22
    • Metabolomics22
    • Microbiology22
    • Shiny22
    • Spatial transcriptomics22
    • NGS21
    • Open Science21
    • RNA-Seq21
    • ansible21
    • metadata21
    • reproducible research21
    • BAM20
    • FASTQ20
    • Imaging20
    • Research Data Management20
    • life-sciences20
    • sensitive data19
    • CfRR19
    • Cloud computing19
    • Differential-expression19
    • FAIR Data19
    • Pre-processing19
    • REDCap19
    • Sequence analysis19
    • git-gat19
    • scientific computing19
    • Artificial intelligence18
    • Comparative genomics18
    • Data sharing18
    • Programming18
    • Variant Analysis18
    • interactive-tools18
    • transcriptomics18
    • work-in-progress18
    • Show N_FILTERS more
    • Competency level
    • Intermediate3
    • Beginner1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International4
    • Show N_FILTERS more
    • Target audience
    • Students3
    • Show N_FILTERS more
    • Author
    • Arif ul Maula Khan1
    • Daniel Franco Barranco1
    • Diana Chiang Jurado1
    • Leonid Kostrykin1
    • Martin Zurowietz1
    • Riccardo Massei1
    • Yi Sun1
    • Show N_FILTERS more
    • Contributor
    • Beatriz Serrano-Solano3
    • Leonid Kostrykin3
    • Saskia Hiltemann3
    • Björn Grüning2
    • Anup Kumar1
    • Daniel Franco Barranco1
    • Diana Chiang Jurado1
    • Juliane Röder1
    • Maria Arrate Munoz Barrutia1
    • Riccardo Massei1
    • Yi Sun1
    • Show N_FILTERS more
    • Resource type
    • e-learning3
    • Tutorial1
    • e-Learning1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets3
    • Associated Workflows3
    • Show N_FILTERS more
    • Node
    • Germany1
    • Show N_FILTERS more
    • Status
    • Active1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Hide disabled materials
  • Hide materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Include disabled: true

and Include broken links: true

and Keywords: Image annotation

4 materials found
  • e-Learning, Tutorial

    BIIGLE for Beginners

    ELIXIR node event
    • Beginner
    Data architecture, analysis and design Data quality management FAIR data Biodiversity Light microscopy Bioimaging Medical imaging Machine learning Image annotation video annotation
  • e-learning

    Execute a BiaPy workflow in Galaxy

    •• Intermediate
    Imaging 3D image Conversion Deep learning Image annotation Image segmentation Imaging Overlay Volume rendering
  • e-learning

    Training Custom YOLO Models for Segmentation of Bioimages

    •• Intermediate
    Imaging Deep learning Image annotation Image segmentation Imaging
  • e-learning

    Using BioImage.IO models for image analysis in Galaxy

    •• Intermediate
    Imaging Deep learning Image annotation Image segmentation Imaging
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.