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Development and evaluation of an automatic tumor segmentation tool: a comparison between automatic, semi-automatic and manual segmentation of mandibular odontogenic cysts and tumors.
Rana, Majeed; Modrow, Daniel; Keuchel, Jens; Chui, Christopher; Rana, Madiha; Wagner, Maximilian; Gellrich, Nils-Claudius.
Afiliación
  • Rana M; Department of Craniomaxillofacial Surgery, Hannover Medical School, Hannover, Germany. Electronic address: rana.majeed@mh-hannover.de.
  • Modrow D; Brainlab AG, Feldkirchen, Germany.
  • Keuchel J; Brainlab AG, Feldkirchen, Germany.
  • Chui C; Department of Craniomaxillofacial Surgery, Hannover Medical School, Hannover, Germany.
  • Rana M; Department of Differential Psychology and Psychological Assessment, Hamburg, Germany.
  • Wagner M; Department of Craniomaxillofacial Surgery, Hannover Medical School, Hannover, Germany.
  • Gellrich NC; Department of Craniomaxillofacial Surgery, Hannover Medical School, Hannover, Germany.
J Craniomaxillofac Surg ; 43(3): 355-9, 2015 Apr.
Article en En | MEDLINE | ID: mdl-25600025
INTRODUCTION: In the treatment of cancer in the head and neck region, computer-assisted surgery can be used to estimate location and extent by segmentation of the tumor. This article presents a new tool (Smartbrush), which allows for faster automated segmentation of the tumor. METHODS: This new method was compared with other well-known techniques of segmentation. Thirty-eight patients with keratocystic odontogenic tumors were included in this study. The tumors were segmented using manual segmentation, threshold-based segmentation and segmentation using Smartbrush. All three methods were compared concerning usability, time expenditure and accuracy. RESULTS: The results suggest that segmentation using Smartbrush is significantly faster with comparable accuracy. CONCLUSIONS: After a period of adjustment to the program, one can comfortably get reliable results that, compared with other methods, are not as dependent on the user's experience. Smartbrush segmentation is a reliable and fast method of segmentation in tumor surgery.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Enfermedades Mandibulares / Quistes Odontogénicos / Tumores Odontogénicos / Cirugía Asistida por Computador Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: J Craniomaxillofac Surg Asunto de la revista: ODONTOLOGIA Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Enfermedades Mandibulares / Quistes Odontogénicos / Tumores Odontogénicos / Cirugía Asistida por Computador Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: J Craniomaxillofac Surg Asunto de la revista: ODONTOLOGIA Año: 2015 Tipo del documento: Article
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