Texture Analysis of Supraspinatus Ultrasound Image for Computer Aided Diagnostic System

OBJECTIVES: In this paper, we proposed an algorithm for recognizing a rotator cuff supraspinatus tendon tear using a texture analysis based on a histogram, gray level co-occurrence matrix (GLCM), and gray level run length matrix (GLRLM). METHODS: First, we applied a total of 57 features (5 first ord...

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Detalles Bibliográficos
Autores principales: Park, Byung Eun, Jang, Won Seuk, Yoo, Sun Kook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116542/
https://www.ncbi.nlm.nih.gov/pubmed/27895962
http://dx.doi.org/10.4258/hir.2016.22.4.299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116542/
https://www.ncbi.nlm.nih.gov/pubmed/27895962
http://dx.doi.org/10.4258/hir.2016.22.4.299

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