Mask Extraction from Manually Segmented MIAS Mammograms (CROSBI ID 575572)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Muštra, Mario ; Grgić, Mislav ; Huzjan-Korunić, Renata
engleski
Mask Extraction from Manually Segmented MIAS Mammograms
The first step in computer aided detection (CAD) in mammography relies on accurate image segmentation. Testing of CAD algorithms should include comparison with other proposed methods in order to show how a new method compares with ones presented before. Two most popular mammographic databases, which are publicly available, consist of scanned films. This presents a segmentation challenge in order to achieve the best possible results. The major problem which arises in testing automatic segmentation algorithms is defining the ground truth. In this paper we present a method for automatic extraction of manually segmented breast segmentation masks from MIAS database. The manual segmentation process has been performed by the professional radiologist on printed images, which have later been digitized and breast pectoral muscle masks have been extracted. The extraction process differs for breast mask extraction and for pectoral muscle mask extraction because of different manually drawn segmentation line properties.
Image Registration; Region Growing; Computer Aided Detection; Image Segmentation
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Podaci o prilogu
47-50.
2011.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 53rd International Symposium ELMAR-2011
Božek, Jelena ; Grgić, Mislav
Zagreb: Hrvatsko društvo Elektronika u pomorstvu (ELMAR)
978-953-7044-12-1
1334-2630
Podaci o skupu
International Symposium ELMAR
predavanje
14.09.2011-16.09.2011
Zadar, Hrvatska