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NIST · ИТ · 9638e8311e05c7d251d2

9638e8311e05c7d251d2 · 3D Segmentation of Stem Cells from Thousands of Confocal Microscopy Images

3D Segmentation of Stem Cells from Thousands of Confocal Microscopy Images

We address the problem of estimating 3D segmentation performance when segmentation is applied to thousands of confocal microscopy images (z-stacks) of cells. With a very large number of z-stacks, manual inputs to validate each segmentation result are

Официальный источник · 2016-03-01

Полные импортированные сведения карточки
{
  "title_en": "3D Segmentation of Stem Cells from Thousands of Confocal Microscopy Images",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2016-03-01",
  "date_original": "March 1, 2016",
  "url": "https://www.nist.gov/publications/3d-segmentation-stem-cells-thousands-confocal-microscopy-images",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Peter Bajcsy , Mylene H. Simon , Stephen J. Florczyk , Carl G. Simon Jr. , Derek Juba , Mary C. Brady",
  "abstract_excerpt_en": "We address the problem of estimating 3D segmentation performance when segmentation is applied to thousands of confocal microscopy images (z-stacks) of cells. With a very large number of z-stacks, manual inputs to validate each segmentation result are",
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    {
      "title_en": "3D Segmentation of Stem Cells from Thousands of Confocal Microscopy Images",
      "designation": "",
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      "date_original": "March 1, 2016",
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      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Peter Bajcsy , Mylene H. Simon , Stephen J. Florczyk , Carl G. Simon Jr. , Derek Juba , Mary C. Brady",
      "abstract_excerpt_en": "We address the problem of estimating 3D segmentation performance when segmentation is applied to thousands of confocal microscopy images (z-stacks) of cells. With a very large number of z-stacks, manual inputs to validate each segmentation result are"
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