A Fourier-Based Algorithm for Micro-Calcification Enhancement in Mammographic Images

Francesco Fauci, Rosario Magro, Giuseppe Raso, Donato Cascio, Marius Iacomi, Cascio, Maria Simone Vasile, Raso, Francesco Fauci, Magro, Marius Mihail Iacomi

Risultato della ricerca: Otherpeer review

15 Citazioni (Scopus)


Breast cancer is the most widespread cancer in women in the world; it manifests mostly in two forms: microcalcifications and massive lesions. These two forms differ in density, size, shape and number. Consequently, there are two different kinds of mammographic CAD algorithms: those for microcalcifications detection, and those for massive lesions detection. The microcalcifications detection is a hard task, since they are quite small and often poorly contrasted against the background, especially in images affected by digitization noise. In a CAD system the ROI Hunter plays an important role, because missed microcalcifications at this level are definitely lost. For this reason, highlighting methods for suspected microcalcifications may be useful in a CAD system. In this work, we describe a Fourier Transform based microcalcifications enhancement method, which takes place after the image preprocessing and before the ROI Hunter step, aimed at highlighting suspected areas
Lingua originaleEnglish
Numero di pagine4
Stato di pubblicazionePublished - 2009

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.3100.3106???
  • ???subjectarea.asjc.2700.2741???


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