Lymphocyte Detection in Hematoxylin-Eosin Stained Histopathological Images of Breast Cancer
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2019-07-29
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en
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Abstract
Lymphocytes are immune cells that form an important bio-marker in the prognosis
of breast cancer. In some cases more e ective treatment can be chosen
based on the lymphocyte presence near tumor regions. For trained pathologists
the detection of lymphocytes in Hematoxylin-Eosin stained images is however
a challenging and time intensive task with subjective interpretations. In this
research we explore the lymphocyte detection problem with a deep learning approach
and strive towards a robust, objective and e cient tool for computer
aided diagnosis.
We generate a large data-set with machine produced labels by applying an
existing model on destained and restained immunohistochemical histopathological
images. On this data we train and evaluate a more minimal rendition of
the known YOLO object detection model and report moderate results.
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Faculteit der Sociale Wetenschappen