{"entity": "researcher", "timestamp": "2026-09-23T09:22:24.393Z", "family": "Le Guyader", "given": "Sylvie", "initials": "S", "orcid": "0000-0002-8812-8046", "affiliations": ["Center for Biosciences, Department of Biosciences and Nutrition, Novum, Karolinska Institutet, Huddinge, Sweden."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/b952dd3dbfb34156952a4149deef1284.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/b952dd3dbfb34156952a4149deef1284"}}, "publications": [{"entity": "publication", "iuid": "8d2072ec7f4a436594921aeda2220a43", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/8d2072ec7f4a436594921aeda2220a43.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/8d2072ec7f4a436594921aeda2220a43"}}, "title": "Automated Training of Deep Convolutional Neural Networks for Cell Segmentation.", "authors": [{"family": "Sadanandan", "given": "Sajith Kecheril", "initials": "SK"}, {"family": "Ranefall", "given": "Petter", "initials": "P"}, {"family": "Le Guyader", "given": "Sylvie", "initials": "S", "orcid": "0000-0002-8812-8046", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b952dd3dbfb34156952a4149deef1284.json"}}, {"family": "W\u00e4hlby", "given": "Carolina", "initials": "C", "orcid": "0000-0002-4139-7003", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/833afe3444d84c24be12ea1468563bea.json"}}], "type": "journal article", "published": "2017-08-10", "journal": {"title": "Sci Rep", "issn": "2045-2322", "volume": "7", "issue": "1", "pages": "7860", "issn-l": "2045-2322"}, "abstract": "Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentation tasks. The DCNN performance is however heavily dependent on the availability of large amounts of problem-specific training samples. Here we show that DCNNs trained on ground truth created automatically using fluorescently labeled cells, perform similar to manual annotations.", "doi": "10.1038/s41598-017-07599-6", "pmid": "28798336", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC5552800"}, {"db": "pii", "key": "10.1038/s41598-017-07599-6"}], "notes": [], "created": "2018-12-05T11:57:01.009Z", "modified": "2026-09-23T07:29:07.966Z"}]}