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Automatic cell colony counting by region-growing approach

Masala, Giovanni Luca Christian and Bottigli, Ubaldo and Brunetti, Antonio and Carpinelli, Massimo and Diaz, Nicia and Fiori, Pier Luigi and Golosio, Bruno and Oliva, Piernicola and Stegel, Giovanni (2007) Automatic cell colony counting by region-growing approach. Il Nuovo cimento. C, Vol. 30 (6), p. 633-644. eISSN 1826-9885. Article.

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DOI: 10.1393/ncc/i2007-10273-3

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Abstract

This paper introduces a new automatic system of counting based on the elaboration of the digital images of cellular colonies grown on petri dishes. This system is mainly based on the region-growing algorithms for the recognition of the Regions Of Interest (ROI) in the image and Sanger’s neural network for the characterization of such regions. Moreover a recognition of the most important filters is made in alternative respect to region-growing approach. The new Graphics Users Interface is introduced. The better final classification is supplied from a Feed- Forward Neural Net (FF-NN) and compared with the K-Nearest Neighbour (K-NN). The results on large dataset of ROIs are shown.

Item Type:Article
ID Code:1860
Status:Published
Refereed:Yes
Uncontrolled Keywords:Nuclear medicine imaging, image analysis
Subjects:Area 01 - Scienze matematiche e informatiche > MAT/05 Analisi matematica
Area 02 - Scienze fisiche > FIS/07 Fisica applicata (a beni culturali, ambientali, biologia e medicina)
Area 06 - Scienze mediche > MED/07 Microbiologia e microbiologia clinica
Divisions:001 Università di Sassari > 01 Dipartimenti > Scienze biomediche
001 Università di Sassari > 03 Istituti > Matematica e fisica
Publisher:Società Italiana di Fisica
eISSN:1826-9885
Deposited On:18 Aug 2009 10:06

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