Online neuron reconstruction
Name
967348545-MIT.pdf
Description
Full printable version
Size
2.33 MB
Format
Adobe PDF
Checksum (MD5)
277771b30ea4ff337e3c3dcd3c93b90b
Author(s)
Stoller, Jonathan (Jonathan M.)
Advisor(s)
Nir Shavit.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, I designed an algorithm that traces neurons through the images of various datasets extracted from mouse brains. The algorithm is implemented in Python and relies on the output of a recently developed Fully Convolutional Neural Network (implemented in C) that runs on the underlying images. The images themselves are generated using state of the art technologies that provide high resolution and extremely accurate representations of the original brain matter. The algorithm is part of the combined efforts of MIT's Computational Connectomics Group.
Description
Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 47).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Persistent DSpace Link
