Author(s):
Rodrigues, Pedro 
; Ferreira, Manuel ; Monteiro, João
Date: 2008
Persistent ID: http://hdl.handle.net/10198/1445
Origin: Biblioteca Digital do IPB
Subject(s): Leukocytes; Neural networks; PCNN; SVM
Document details
Segmentation and classification of leukocytes using neural networks: a generali...
Description
In image digital processing, as in other fields, it is commonly difficult to simultaneously achieve a generalizing system and a specialistic system. The segmentation and classification of leukocytes is an application where this fact is evident. First an exclusively supervised approach to segmentation and classification of blood white cells images is shown. As this method produces some drawbacks related to the specialistic/generalized problems, another process formed by two neural networks is proposed. One is an unsupervised network and the other one is a supervised neural network. The goal is to achieve a better generalizing system while still doing well the role of a specialistic system. We will compare the performance of the two approaches.
In image digital processing, as in other fields, it is commonly difficult to simultaneously achieve a generalizing system and a specialistic system. The segmentation and classification of leukocytes is an application where this fact is evident. First an exclusively supervised approach to segmentation and classification of blood white cells images is shown. As this method produces some drawbacks related to the specialistic/generalized problems, another process formed by two neural networks is proposed. One is an unsupervised network and the other one is a supervised neural network. The goal is to achieve a better generalizing system while still doing well the role of a specialistic system. We will compare the performance of the two approaches.
Document Type
Part of book or chapter of book
Language English
Language English
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