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An automated differential blood count system
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116554.pdf
Date
2001
Author
Güçlü, Ongun
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Subject Keywords
Blood cells.
,
Leucocytes.
,
Blood cell count.
,
Snakes.
,
Balloons.
URI
https://hdl.handle.net/11511/10742
Collections
Graduate School of Natural and Applied Sciences, Thesis
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An automated differential blood count system
Ongun, G; Halıcı, Uğur; Leblebicioğlu, Mehmet Kemal; Atalay, Mehmet Volkan; Beksac, M; Beksac, S (2001-10-28)
While the early diagnosis of hematopoietic system disorders is very important in hematolgy, it is a highly complex and time consuming task. The early diagnosis requires a lot of patients to be followed-up by experts which, in general is infeasible because of the required number of experts. The differential blood counter (DBC) system that we have developed is an attempt to automate the task performed manually by experts in routine. In our system, the cells are segmented using active contour models (snakes an...
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An intelligent BIM-based automated progress monitoring system using self-navigating robots for data acquisition
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Red and white blood cell classification using Artificial Neural Networks
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Blood cell classification is a recent topic for scientists working on the diagnosis of blood cell related illnesses. As the number of computer vision (CV) applications is increasing to improve quality of human life, it spreads in the areas of autonomous drive, surveillance, robotic applications, telecommunications and etc. The number of CV applications also increases in the medical sector due the decreasing value of doctors per patient ratio (DPPR) in urban and suburban areas. A doctor working in such areas...
An automated blood cell analysis and classification system
Ongun, G; Halıcı, Uğur; Leblebicioğlu, Mehmet Kemal; Atalay, Mehmet Volkan; Erkmen, Aydan Müşerref; Beksac, S; Beksac, M; Erol, A (1998-01-01)
Direct analysis of blood and bone marrow smear images obtained from microscope are not common in current trends of hematology. Current blood smear analysis methods heavily depend on flow cytometry based techniques in which the blood cells are flew through microtubes thus classified according to their flow characteristics and cell volumes. This method is an indirect way of measuring features hence is accurate at a certain level. In this work an automated blood cell classification system is presented includin...
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O. Güçlü, “An automated differential blood count system,” Ph.D. - Doctoral Program, Middle East Technical University, 2001.