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A Comparative Study of Deep Learning Models for Dental Segmentation in Panoramic Radiograph

<b>Introduction</b>: Dental segmentation in panoramic radiograph has become very relevant in dentistry, since it allows health professionals to carry out their assessments more clearly and helps them to define the best possible treatment plan for their patients. <b>Objectives</b>: In this work, a co...

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主要な著者: Élisson da Silva Rocha, Patricia Takako Endo
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2022-03-01
シリーズ:Applied Sciences
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オンライン・アクセス:https://www.mdpi.com/2076-3417/12/6/3103
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