New Results
EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning
View ORCID ProfileBenoit Aigouy, View ORCID ProfileBenjamin Prud’Homme
doi: https://doi.org/10.1101/2020.06.30.179507
Benoit Aigouy
1Aix Marseille Univ, CNRS, IBDM, Marseille, France
Benjamin Prud’Homme
1Aix Marseille Univ, CNRS, IBDM, Marseille, France
Article usage
Posted July 02, 2020.
EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning
Benoit Aigouy, Benjamin Prud’Homme
bioRxiv 2020.06.30.179507; doi: https://doi.org/10.1101/2020.06.30.179507
Subject Area
Subject Areas
- Biochemistry (11753)
- Bioengineering (8752)
- Bioinformatics (29201)
- Biophysics (14974)
- Cancer Biology (12100)
- Cell Biology (17413)
- Clinical Trials (138)
- Developmental Biology (9422)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18309)
- Genetics (12245)
- Genomics (16804)
- Immunology (11869)
- Microbiology (28098)
- Molecular Biology (11596)
- Neuroscience (60975)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)