Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer

Malignant tumors due to breast cancer and masses due to benign disease appear in mammograms with different shape characteristics: the former usually have rough, spiculated, or microlobulated contours, whereas the latter commonly have smooth, round, oval, or macrolobulated contours. Features that cha...

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Detalles Bibliográficos
Autores principales: Guliato, Denise, Rangayyan, Rangaraj
Lenguaje:eng
Publicado: Morgan & Claypool Publishers 2011
Materias:
Health Physics and Radiation Effects
Acceso en línea:http://cds.cern.ch/record/1486524
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author Guliato, Denise
Rangayyan, Rangaraj
author_facet Guliato, Denise
Rangayyan, Rangaraj
author_sort Guliato, Denise
collection CERN
description Malignant tumors due to breast cancer and masses due to benign disease appear in mammograms with different shape characteristics: the former usually have rough, spiculated, or microlobulated contours, whereas the latter commonly have smooth, round, oval, or macrolobulated contours. Features that characterize shape roughness and complexity can assist in distinguishing between malignant tumors and benign masses. In spite of the established importance of shape factors in the analysis of breast tumors and masses, difficulties exist in obtaining accurate and artifact-free boundaries of the related
id cern-1486524
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
publisher Morgan & Claypool Publishers
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spelling cern-14865242021-04-22T00:17:13Zhttp://cds.cern.ch/record/1486524engGuliato, DeniseRangayyan, RangarajModeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast CancerHealth Physics and Radiation EffectsMalignant tumors due to breast cancer and masses due to benign disease appear in mammograms with different shape characteristics: the former usually have rough, spiculated, or microlobulated contours, whereas the latter commonly have smooth, round, oval, or macrolobulated contours. Features that characterize shape roughness and complexity can assist in distinguishing between malignant tumors and benign masses. In spite of the established importance of shape factors in the analysis of breast tumors and masses, difficulties exist in obtaining accurate and artifact-free boundaries of the related Morgan & Claypool Publishersoai:cds.cern.ch:14865242011
spellingShingle Health Physics and Radiation Effects
Guliato, Denise
Rangayyan, Rangaraj
Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer
title Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer
title_full Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer
title_fullStr Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer
title_full_unstemmed Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer
title_short Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer
title_sort modeling and analysis of shape with applications in computer-aided diagnosis of breast cancer
topic Health Physics and Radiation Effects
url http://cds.cern.ch/record/1486524
work_keys_str_mv AT guliatodenise modelingandanalysisofshapewithapplicationsincomputeraideddiagnosisofbreastcancer
AT rangayyanrangaraj modelingandanalysisofshapewithapplicationsincomputeraideddiagnosisofbreastcancer

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