ABSTRACT
Cervical cancer is a public health problem, where the treatment has
a better chance of success if detected early. This paper explores one
way of to analyze argyrophilic nucleolus organizer regions (AgNOR)
stained slide using deep learning approaches of object detection for
detecting the different categories of nucleus. Our results show that
a balanced dataset between the explored categories was essential,
also that a ResNet-50 as backbone of Fast RCNN shows an AP of
61.8% and 42.5% to detect nucleus and out of focus nucleus.
O Computer on the Beach é um evento técnico-científico que visa reunir profissionais, pesquisadores e acadêmicos da área de Computação, a fim de discutir as tendências de pesquisa e mercado da computação em suas mais diversas áreas.
