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Laboratory Image Classification using Fuzzy Neural Algorithm:: Application for Colon Cancer Diagnosis - Couverture souple

Nwoye, Ephraim

 
9783659949135: Laboratory Image Classification using Fuzzy Neural Algorithm:: Application for Colon Cancer Diagnosis
Couverture souple
ISBN 10 : 3659949132 ISBN 13 : 9783659949135
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Pathologists, daily, screen large numbers of slides containing cancerous cells manually. These are similar in shape, size or cells structure.This procedure or process then becomes arduous, difficult and can affect their judgement and decisions resulting in wrong diagnosis. Therefore development of an automated algorithmic approach, based on quantitative measurements, would be a valuable aid to the pathologist to verify abnormalities. The main aim of this book is therefore to use a neural network approach together with fuzzy arithmetic to establish a relationship between normal and cancer colon cell structures. This relationship is of high significance as it will result in an automated tool for accurate diagnosis. A novel Fast Fuzzy Neural Back-propagation Algorithm (FFNBA) for classification of colon cell images is therefore proposed. The algorithm used an optimal learning method for three layers MLP. The method automatically detects differences in biopsy images of the colorectal polyps, extracts the required image features and then classifies the cells into normal and cancer respectively.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Pathologists, daily, screen large numbers of slides containing cancerous cells manually. These are similar in shape, size or cells structure.This procedure or process then becomes arduous, difficult and can affect their judgement and decisions resulting in wrong diagnosis. Therefore development of an automated algorithmic approach, based on quantitative measurements, would be a valuable aid to the pathologist to verify abnormalities. The main aim of this book is therefore to use a neural network approach together with fuzzy arithmetic to establish a relationship between normal and cancer colon cell structures. This relationship is of high significance as it will result in an automated tool for accurate diagnosis. A novel Fast Fuzzy Neural Back-propagation Algorithm (FFNBA) for classification of colon cell images is therefore proposed. The algorithm used an optimal learning method for three layers MLP. The method automatically detects differences in biopsy images of the colorectal polyps, extracts the required image features and then classifies the cells into normal and cancer respectively.

Biographie de l'auteur

Ephraim Nwoye holds a PhD in Electrical and ElectronicEngineering from the Newcastle University,United Kingdom andcurrently a professor of Biomedical Engineering at the University of Lagos, Nigeria with research interests in medical imaging, image & signal processing and biomedical instrumentation.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659949132
ISBN 13 
9783659949135
Reliure
Broché
Nombre de pages
128
Coordonnées du fabricant
non disponible
Personne responsable
non disponible