[CCoE Notice] MS Thesis Presentation

[Abercrombie, Irene F]

MS Thesis Defense
Automated Extraction of Brain Cell Layers using Cell Networks and Active Machine Learning
Vinay Somasundar
Date: Friday, November 16th, 2012

Location: ECE Conference Room
Time: 10:00 am

Committee Chair:
Dr. Badrinath Roysam

Committee Members:
Dr. Thomas Hebert
Dr. Shishir Shah


The cortex of the brain consists of layers of cells which differ in morphology and spatial distribution. The thesis contributes methods and tools to quantify the spatial distributional properties of the neurons such as their density and the distance from the cortical surface using efficient graphical data structures. It also presents the application of an actively trained logistic regression classifier to the problem of  delineating the layers by classifying the neurons as belonging different layers based on the morphological and spatial properties. The proposed approach is applied to diverse datasets acquired from different cortical areas and it consistently achieves an accuracy of around 90% in delineating the laminar boundaries. It also proves to perform better than unsupervised learning methods and  to be more efficient and accurate compared to unaided manual training of classifier.



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