Comput. Biol. Med. - Breast cancer detection from MR images through an auto-probing discrete Fourier transform system.

Tópicos

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Resumo

A computer-aided detection auto-probing (CADAP) system is presented for detecting breast lesions using dynamic contrast enhanced magnetic resonance imaging, through a spatial-based discrete Fourier transform. The stand-alone CADAP system reduces noise, refines region of interest (ROI) automatically, and detects the breast lesion with minimal false positive detection. The lesions are then classified and colourised according to their characteristics, whether benign, suspicious or malignant. To enhance the visualisation, the entire analysed ROI is constructed into a 3-D image, so that the user can diagnose based on multiple views on the ROI. The proposed method has been applied to 101 sets of digital images, and the results compared with the biopsy results done by radiologists. The proposed scheme is able to identify breast cancer regions accurately and efficiently.

Resumo Limpo

computeraid detect autoprob cadap system present detect breast lesion use dynam contrast enhanc magnet reson imag spatialbas discret fourier transform standalon cadap system reduc nois refin region interest roi automat detect breast lesion minim fals posit detect lesion classifi colouris accord characterist whether benign suspici malign enhanc visualis entir analys roi construct d imag user can diagnos base multipl view roi propos method appli set digit imag result compar biopsi result done radiologist propos scheme abl identifi breast cancer region accur effici

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