IA-SeReOs, an interdisciplinary project towards the automatic segmentation of CT-scanned ancient bone remains
CLÉMENT, Michaël
Institut Polytechnique de Bordeaux [Bordeaux INP]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
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Institut Polytechnique de Bordeaux [Bordeaux INP]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Language
en
Communication dans un congrès
This item was published in
1st international conference on artificIAl Intelligence and applied MAthematics for History and Archaeology, 1st international conference on artificIAl Intelligence and applied MAthematics for History and Archaeology, IAMAHA : 1st international conference on artificIAl Intelligence and applied MAthematics for History and Archaeology, 2023-11-27, Nice.
English Abstract
We present a project shared by biological anthropologists and computer scientists aimed at developing a deep learning method for the analysis of ancient bones scanned by X-ray microtomography. The IA-SeReOs project builds ...Read more >
We present a project shared by biological anthropologists and computer scientists aimed at developing a deep learning method for the analysis of ancient bones scanned by X-ray microtomography. The IA-SeReOs project builds upon previous work by two of the co-authors that proposed a segmentation convolutional neural network, presenting the particularity to enforce the preliminary recognition of bone regions vs sediment rich regions.Read less <
English Keywords
Osteology
Deep learning
Computer 3D vision
Origin
Hal importedCollections