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Identifying mitotic figures in digital pathology images is useful in diagnosis and prognosis of cancer. The task itself is time consuming and sometimes difficult for pathologists. Recent research has focused on machine learning for automatic detection of mitoses. The aim of this work was to apply image processing to facilitate ocular examination of mitotic figures in hematoxylin and eosin stained
