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Endomaker, a new algorithm for fully automatic extraction of cranial endocasts and the calculation of their volumes.
Profico, Antonio; Buzi, Costantino; Melchionna, Marina; Veneziano, Alessio; Raia, Pasquale.
Afiliação
  • Profico A; PalaeoHub, Department of Archaeology, University of York, York, UK.
  • Buzi C; Dipartimento di Biologia Ambientale, Sapienza Università di Roma, Rome, Italy.
  • Melchionna M; Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Università di Napoli, Naples, Italy.
  • Veneziano A; Elettra Synchrotron Trieste, Trieste, Italy.
  • Raia P; Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Università di Napoli, Naples, Italy.
Am J Phys Anthropol ; 172(3): 511-515, 2020 07.
Article em En | MEDLINE | ID: mdl-32187657
OBJECTIVES: Reproducing cranial endocasts is a major goal of researchers interested in vertebrate brain evolution. We present a new R software, named endomaker, which allows the automatic extraction of endocasts from skull meshes along with the calculation of its volume. MATERIALS AND METHODS: We applied endomaker on non-primate and primate skulls including the Australopithecus africanus specimen Sts-5. RESULTS: We proved endomaker is faster, more feature-rich and possibly more accurate than competing software. DISCUSSION: Endomaker is the only available program endowed with the possibility to process an entire mesh directory straight away, promising to expand the scope and phylogenetic breadth of comparative studies of brain evolution.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Crânio / Algoritmos / Cefalometria / Imageamento Tridimensional Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Am J Phys Anthropol Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Crânio / Algoritmos / Cefalometria / Imageamento Tridimensional Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Am J Phys Anthropol Ano de publicação: 2020 Tipo de documento: Article