Laboratory Image Classification using Fuzzy Neural Algorithm:

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2016, 2016

3659949132 / 9783659949135

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.…

Seller Inventory # 9783659949135

Title
Laboratory Image Classification using Fuzzy Neural Algorithm:
Author
Ephraim Nwoye
Publisher
LAP LAMBERT Academic Publishing Sep 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659949132
ISBN 13
9783659949135
Item weight
209 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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