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Optimization of breast lesion segmentation in texture feature space approach.
Moraru, Luminita; Moldovanu, Simona; Biswas, Anjan.
Afiliación
  • Moraru L; Department of Chemistry, Physics and Environment, Dunarea de Jos University of Galati, 111 Domneasca Street, 800201 Galati, Romania. Electronic address: Luminita.Moraru@ugal.ro.
  • Moldovanu S; Department of Chemistry, Physics and Environment, Dunarea de Jos University of Galati, 111 Domneasca Street, 800201 Galati, Romania.
  • Biswas A; Department of Mathematical Sciences, Delaware State University, Dover, DE 19901-2277, USA; Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Med Eng Phys ; 36(1): 129-35, 2014 Jan.
Article en En | MEDLINE | ID: mdl-23791476
This paper develops a method for semi-automatic detection of breast lesion boundaries by combining the snake evolution techniques with statistical texture information of images. We propose an efficient image energy function in segmentation based on image features, first-order textural features and four n×n masks. The segmentation results were evaluated by using area error rate. The image features were evaluated qualitatively by using the contrast-to-noise ratio and fractal dimension analysis. In our study, standard deviation, skewness and entropy are indicated as being the most relevant image features.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Enfermedades de la Mama / Ultrasonografía Mamaria Límite: Humans Idioma: En Revista: Med Eng Phys Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2014 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Enfermedades de la Mama / Ultrasonografía Mamaria Límite: Humans Idioma: En Revista: Med Eng Phys Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2014 Tipo del documento: Article Pais de publicación: Reino Unido