Classification and Segmentation of Cells in Anatomic & Time Lapse Microscopic Images based on Geometrical Features and Machine Learning
Author(s) -
Vohra Sumit,
Dimiter Prodanov
Publication year - 2016
Publication title -
frontiers in neuroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.144
H-Index - 62
ISSN - 1662-5196
DOI - 10.3389/conf.fninf.2016.20.00050
Subject(s) - computer science , artificial intelligence , blob detection , segmentation , laplace operator , operator (biology) , filter (signal processing) , pattern recognition (psychology) , event (particle physics) , gaussian , machine learning , range (aeronautics) , representation (politics) , computer vision , image (mathematics) , image processing , mathematics , edge detection , physics , mathematical analysis , composite material , gene , materials science , chemistry , biochemistry , law , political science , quantum mechanics , repressor , politics , transcription factor
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