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produce two main results.
The first one is a multispectral acquisition
system for gastroendoscopy. This system is being
designed to be compatible with the actual acquisition
systems used in gastroendoscopy.
The acquired multispectral image during
gastroendoscopy leads to the second outcome, which
is the identification of cancerous lesions at an early
stage. The research is oriented to the proposal and
development of tools and methods oriented to
identify pre-cancerous lesions. These methods are
expected to be robust to noise due to the acquisition
conditions and fast enough, in order to recognize in
real time the tissue, which is more likely to develop
cancer. These algorithms will be a major part of the
work during the second and third year of the PhD
thesis.
Figure 5: Spectrum from healthy tissue, a) original
spectrum, b) normalized spectrum.
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DevelopmentofaMultispectralGastroendoscopetoImprovetheDetectionofPrecancerousLesionsinDigestive
Gastroendoscopy
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