Machine Learning‐Based Optoacoustic Tissue Classification Method for Laser Osteotomes Using an Air‐Coupled Transducer

Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/233565

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Título:	Machine Learning‐Based Optoacoustic Tissue Classification Method for Laser Osteotomes Using an Air‐Coupled Transducer
Autor:	Hervé Nguendon Kenhagho; Ferda Canbaz; Tomas E Gomez Alvarez‐Arenas; Raphael Guzman; Philippe Cattin; Azhar Zam
Fecha de publicación:	7-feb-2020
Editor:	John Wiley & Sons
Citación:	Lasers Surg Med. https://doi.org/10.1002/lsm.23290
Resumen:	Using lasers instead ofmechanical tools for bone cutting holds many advantages,including functional cuts, contactless interaction, andfaster wound healing. To fully exploit the benefits of la-sers over conventional mechanical tools, a realtimefeedback to classify tissue is proposed
Versión del editor:	https://doi.org/10.1002/lsm.23290
URI:	http://hdl.handle.net/10261/233565
DOI:	10.1002/lsm.23290
Aparece en las colecciones:	(ITEFI) Artículos

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