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Breast Cancer Ultrasound Images' Sequence Exploration Using BI-RADS Features' Extraction: Towards an Advanced Clinical Aided Tool for Precise Lesion Characterization.
IEEE Trans Nanobioscience ; 14(7): 740-5, 2015 Oct.
Article en En | MEDLINE | ID: mdl-26513796
ABSTRACT
This research concerned a clinical need for precise breast cancer lesion characterization imaged by ultrasound sequences. Using therefore BI-RADS features that would be carefully extracted, the purpose of this study could be mainly to prove and to demonstrate the possibility of surveying precisely the changing characteristics of a breast cancer lesion within a considered ultrasound images' sequence. This was in fact a clinical need of a computer aided diagnosis (CAD) system permitting flexible and convivial clinical analysis of multi-slices' ultrasound breast cancer lesion with greater precision. The obtained results of our images' sequence breast cancer ultrasound analysis had shown the lesion form changing depending on the treated slice, as well as the values' differences for the morphological and the textural features. This would allow extracting more information about breast cancer lesions helping then radiologist to converge more rapidly and with a certain reinforced precision to the accurate clinical action to conduct. Such results would be reassembled and rearranged for constituting one computer aided diagnosis (CAD) system that could be provided for clinical explorations permitting on the other hand to avoid possible confusion between benign and malignant masses.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Reconocimiento de Normas Patrones Automatizadas / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Ultrasonografía Mamaria / Artefactos Tipo de estudio: Diagnostic_studies Límite: Female / Humans Idioma: En Revista: IEEE Trans Nanobioscience Asunto de la revista: BIOTECNOLOGIA Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Reconocimiento de Normas Patrones Automatizadas / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Ultrasonografía Mamaria / Artefactos Tipo de estudio: Diagnostic_studies Límite: Female / Humans Idioma: En Revista: IEEE Trans Nanobioscience Asunto de la revista: BIOTECNOLOGIA Año: 2015 Tipo del documento: Article
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