Deep Learning for Mandibular Canal Segmentation in Digital Dental Radiographs: A Systematic Literature Review
Mohammad Farid Naufal,
Chastine Fatichah,
Eha Renwi Astuti
et al.
Abstract:Context: Several recent studies in dentistry and maxillofacial imaging have concentrated on the mandibular canal (MC) segmentation in digital dental radiographs. In this research domain, deep learning approaches have demonstrated promising outcomes. Objective: This systematic literature review (SLR) aims to comprehensively analyze and synthesize the recent advancements in applying deep learning techniques for MC segmentation in digital dental radiographs. Method: This review encompasses studies published betwe… Show more
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