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26 June 2013 Neuromuscular disease classification system
Aurora Sáez, Begoña Acha, Adoración Montero-Sánchez, Eloy Rivas, Luis M. Escudero, Carmen Serrano
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Journal of Biomedical Optics, Vol. 18, Issue 6, 066017 (June 2013). https://doi.org/10.1117/1.JBO.18.6.066017
Abstract
Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and neurogenic atrophies through muscle biopsy images of fluorescence microscopy is presented. The procedure starts with an accurate segmentation of the muscle fibers using mathematical morphology and a watershed transform. A feature extraction step is carried out in two parts: 24 features that pathologists take into account to diagnose the diseases and 58 structural features that the human eye cannot see, based on the assumption that the biopsy is considered as a graph, where the nodes are represented by each fiber, and two nodes are connected if two fibers are adjacent. A feature selection using sequential forward selection and sequential backward selection methods, a classification using a Fuzzy ARTMAP neural network, and a study of grading the severity are performed on these two sets of features. A database consisting of 91 images was used: 71 images for the training step and 20 as the test. A classification error of 0% was obtained. It is concluded that the addition of features undetectable by the human visual inspection improves the categorization of atrophic patterns.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
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Aurora Sáez, Begoña Acha, Adoración Montero-Sánchez, Eloy Rivas, Luis M. Escudero, and Carmen Serrano "Neuromuscular disease classification system," Journal of Biomedical Optics 18(6), 066017 (26 June 2013). https://doi.org/10.1117/1.JBO.18.6.066017
Published: 26 June 2013
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Cited by 16 scholarly publications.
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KEYWORDS
Biopsy
Image segmentation
Optical fibers
Classification systems
Image classification
Feature selection
Control systems
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