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A Self-Supervised Machine Learning Approach for Objective Live Cell Segmentation and Analysis

2021-01-08

Abstract excerpt

Machine learning algorithms hold the promise of greatly improving live cell image analysis by way of (1) analyzing far more imagery than can be achieved by more traditional manual approaches and (2) by eliminating the subjective nature of researchers and diagnosticians selecting the cells or cell features to be included in the analyzed data set. Currently, however, even the most sophisticated model based or machin...

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Literature Corpus work
74dde127-cb09-59ad-ac16-18363f6dd330
DOI
10.1101/2021.01.07.425773
Open publication

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A Self-Supervised Machine Learning Approach for Objective Live Cell Segmentation and AnalysisDOI 10.1101/2021.01.07.425773
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