CytoCensus, mapping cell identity and division in tissues and organs using machine learning
A major challenge in cell and developmental biology is the automated identification and quantitation of cells in complex multilayered tissues. We developed CytoCensus: an easily deployed implementation of supervised machine learning that extends convenient 2D ‘point-and-click’ user training to 3D de...
| 出版年: | eLife |
|---|---|
| 主要な著者: | , , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
eLife Sciences Publications Ltd
2020-05-01
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| 主題: | |
| オンライン･アクセス: | https://elifesciences.org/articles/51085 |