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Research <
Microscopic Image Analysis
Related Thesis
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S. Ayas
Classification Of Tuberculosis Bacteria In Microscopic Images Using Random Forests Algorithm
M.Sc. Thesis, Supervisor: Assoc. Prof. Dr. M. Ekinci, Karadeniz Technical University,
January 2014.
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Related Papers
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S. Ayas
and M. Ekinci.
Random Forest-Based Tuberculosis Bacteria Classification In Images Of Zn-Stained Sputum Smear Samples
Signal, Image and Video Processing, vol.8, 49-61,
December 2014.
Abstract |
Full Document |
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S. Ayas
and M. Ekinci.
Automatic Segmentation Of Mycobacteriun Tuberclosis In Ziehl-Neelsen Sputum Slide Images Using Support Vector Machines.
In Proc. of IASTED, pp. 123-128, Zurich-Switzerland, June 23-25, 2014.
Abstract |
Full Document (in Turkish) |
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S. Güven
and M. Ekinci.
Detection Of Tuberculosis Bacteria With Microscopic Image Analysis
In Proc. of SIU, pp. 1-4, Haspolat, April 24-26, 2013.
Abstract |
Full Document (in Turkish) |
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