Automatic cell colony counting by region-growing approach

Masala, Giovanni L. and Bottigli, U. and Brunetti, A. and Carpinelli, M. and Diaz, N. and Fiori, P. L. and Golosio, B. and Oliva, P. and Stegel, G. (2007) Automatic cell colony counting by region-growing approach. Il nuovo cimento C, 30 (6). pp. 633-644. ISSN 1826-9885

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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
Uncontrolled Keywords: Nuclear medicine imaging ; Image analysis
Subjects: 500 Scienze naturali e Matematica > 530 Fisica
Depositing User: Marina Spanti
Date Deposited: 20 Mar 2020 19:40
Last Modified: 20 Mar 2020 19:40

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