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The research interests of the Kenji Suzuki Laboratory
at the University of Chicago lie in interdisciplinary research in medicine and computer science,
with its
primary focus on research on
computer-aided diagnosis of lesions in the abdomen,
thorax, and
heart and the development of techniques of
machine learning, image processing, and pattern recognition. The
long-term goal of the laboratory’s research is to develop a computer
system that
diagnoses diseases in medical images as an expert radiologist does to
assist non-expert doctors in
making diagnoses. To approach this goal, we
believe that the development of sophisticated techniques, their theoretical
backups, and an understanding of radiologists’ decision-making process and
of the human visual system are essential. We are making efforts to
“weave” the clinical science and the technological
science into a new
paradigm to contribute to both medicine
and computer science.
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