DETECTION EARLY BREAST CANCER BY USING DIGITAL INFRARED IMAGE BASED ON ASYMMETRY THERMAL
ABSTRACT: Breast cancer
is a health
risk main to
woman. The growth hardly
quickly and can
result death for
patient. Principal worked Digital
infra-red mall imagery
applied for diagnosa non
invasive which enable
praktisis klinis do visualisation and
quantification of change
of mall surface
of husk.
One of the
methods for breast
cancer detection is to make comparisons
between contralateral images.
When the images are
relatively symmetrical, small
asymmetries may indicate a
suspicious region. In
thermal infrared (IR)
imaging, asymmetry analysis normally needs human intervention because of the
diculties in segmentation image
processing. In order toprovide a
more objective diagnostic
result, we describe
an automatic approach to
asymmetry analysis in
thermograms. It includes automatic
segmentation and supervised
pattern classication.
Penulis: DRINGHUZEN JEKKE
MAMAHIT,ST.,M.ENG
Kode Jurnal: jptkomputerdd120058
