EvoSeg: Automated Electron Microscopy Segmentation through Random Forests and Evolutionary Optimization

EvoSeg: Automated Electron Microscopy Segmentation through Random Forests and Evolutionary Optimization

Electron Microscopy Maps are key in the study of bio-molecular structures, ranging from borderline atomic level to the sub-cellular range. These maps describe the envelopes that cover possibly a very large number of proteins that form molecular machines within the cell. Within those envelopes, we ar...

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Bibliographic Details
Main Authors: Manuel Zumbado-Corrales, Juan Esquivel-Rodríguez
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Biomimetics
Subjects:
electron microscopy
segmentation
EM
machine learning
random forests
evolutionary algorithms
Online Access:https://www.mdpi.com/2313-7673/6/2/37

Internet

https://www.mdpi.com/2313-7673/6/2/37

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