A software tool for automatic classification and segmentation of 2D/3D medical images

2013 ◽  
Vol 702 ◽  
pp. 137-140 ◽  
Author(s):  
Michal Strzelecki ◽  
Piotr Szczypinski ◽  
Andrzej Materka ◽  
Artur Klepaczko
Keyword(s):  
Medical Images ◽  
Software Tool ◽  
Automatic Classification

A New Software Tool for Removing, Storing, and Adding Abnormalities to Medical Images for Perception Research Studies

2006 ◽  
Vol 13 (3) ◽  
pp. 305-312 ◽  
Author(s):  
Mark T. Madsen ◽  
Kevin S. Berbaum ◽  
Andrew N. Ellingson ◽  
Brad H. Thompson ◽  
Brian F. Mullan ◽  
...  
Keyword(s):  
Medical Images ◽  
Software Tool ◽  
Research Studies

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

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