Comput Methods Programs Biomed - Mammogram retrieval on similar mass lesions.

Tópicos

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Resumo

Enormous numbers of digital mammograms have been produced in hospitals and breast screening centers. To exploit those valuable resources in aiding diagnoses and research, content-based mammogram retrieval systems are required to effectively access the mammogram databases. This paper presents a content-based mammogram retrieval system, which allows medical professionals to seek mass lesions that are pathologically similar to a given example. In this retrieval system, shape and margin features of mass lesions are extracted to represent the characteristics of mammographic lesions. To compare the similarity between the query example and any lesion within the databases, this study proposes a similarity measure scheme which involves the hierarchical arrangement of mammographic features and a weighting distance measure. This makes similarity measure of the retrieval system consistent with the way radiologists observe mass lesions. This study used the DDSM dataset to evaluate the effectiveness of the extracted shape feature and margin feature, respectively. Experimental results demonstrate that, when Zernike moments are used, round-shape masses are the most discriminative among four types of shape; the circumscribed-margin masses can be effectively discriminated among the four types of margins. Moreover, the result also shows that, when retrieving round-shape and circumscribed margin masses, this retrieval system can achieve the highest precision among all mass lesion types.

Resumo Limpo

enorm number digit mammogram produc hospit breast screen center exploit valuabl resourc aid diagnos research contentbas mammogram retriev system requir effect access mammogram databas paper present contentbas mammogram retriev system allow medic profession seek mass lesion patholog similar given exampl retriev system shape margin featur mass lesion extract repres characterist mammograph lesion compar similar queri exampl lesion within databas studi propos similar measur scheme involv hierarch arrang mammograph featur weight distanc measur make similar measur retriev system consist way radiologist observ mass lesion studi use ddsm dataset evalu effect extract shape featur margin featur respect experiment result demonstr zernik moment use roundshap mass discrimin among four type shape circumscribedmargin mass can effect discrimin among four type margin moreov result also show retriev roundshap circumscrib margin mass retriev system can achiev highest precis among mass lesion type

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