Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloDetection of single and clustered microcalcifications in mammograms using fractals models and neural network
Anno di pubblicazione2004
  • Elettronico
  • Cartaceo
Autore/iBocchi L., Coppini, G., Nori J., Valli G.
Affiliazioni autoriDept Electronics & Telecommunications, Univ of Florence, Florence, Italy; CNR Institute of Clinical Physiology, Pisa, Italy; Mammographic Unit, ASL 10/D, Florence, Italy
Autori CNR e affiliazioni
  • inglese
AbstractMicrocalcifications (?Cas) are often early signs of breast cancer. However, detecting them is a difficult visual task and recognizing malignant lesions is a complex diagnostic problem. In recent years, several research groups have been working to develop computer-aided diagnosis (CAD) systems for X-ray mammography. In this paper, we propose a method to detect and classify microcalcifications. In order to discover the presence of ?Cas clusters, particular attention is paid to the analysis of the spatial arrangement of detected lesions. A fractal model has been used to describe the mammographic image, thus, allowing the use of a matched filtering stage to enhance microcalcifications against the background. A region growing algorithm, coupled with a neural classifier, detects existing lesions. Subsequently, a second fractal model is used to analyze their spatial arrangement so that the presence of microcalcification clusters can be detected and classified. Reported results indicate that fractal models provide an adequate framework for medical image processing; consequently high correct classification rates are achieved.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da303
Pagine a312
Pagine totali-
RivistaMedical engineering & physics
Attiva dal 1994
Editore: Butterworth-Heinemann, - Oxford
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 1350-4533
Titolo chiave: Medical engineering & physics
Titolo proprio: Medical engineering & physics.
Titolo abbreviato: Med. eng. phys.
Titolo alternativo: Medical engineering and physics
Numero volume della rivista26
Fascicolo della rivista4
Verificato da referee-
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000221519600004)
Parole chiaveMammography; Microcalcifications, Microcalcification clusters, Fractional Brownian motion, Fractal dust, Artificial neural networks
Link (URL, URI)-
Titolo parallelo-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IFC — Istituto di fisiologia clinica
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Articolo pubblicato (documento privato )
Tipo documento: application/pdf

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