Mozambique has one of the highest burdens of cervical cancer in the world. However, access to gynecology and pathology services to diagnose cervical precancer in Mozambique is limited. To enable effective cervical dysplasia detection at the point of care, we developed a rugged multi-modal imaging system to acquire colposcopic and high-resolution images of the cervix and identify regions with greater likelihood of high grade cervical precancer. Representative data collected from patients referred for colposcopy at Mavalane Hospital in Maputo, Mozambique illustrate the ability of the multimodal system to identify high grade cervical precancer at the point of care.
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