Proof-of-Concept Computer Vision Model for Instrument and Anatomy Detection During Transcanal Endoscopic Ear Surgery.

Nwosu, Obinna; Suresh, Krish; Lee, Daniel J; Crowson, Matthew G

Nwosu, Obinna; Suresh, Krish; Lee, Daniel J; Crowson, Matthew G.

Afiliación

Nwosu O; Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye & Ear, Boston, Massachusetts, USA.
Suresh K; Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston, Massachusetts, USA.
Lee DJ; Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye & Ear, Boston, Massachusetts, USA.
Crowson MG; Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston, Massachusetts, USA.

Otolaryngol Head Neck Surg ; 170(6): 1602-1604, 2024 Jun.

Article en En | MEDLINE | ID: mdl-38104321

ABSTRACT

ABSTRACT

High-definition video captured during transcanal endoscopic ear surgery (TEES) can serve as imaging data for computer vision algorithms. This report describes a proof-of-concept model for automated anatomy and instrument detection during TEES.

Asunto(s)

Cirugía Endoscópica Transanal; Humanos; Cirugía Endoscópica Transanal/métodos; Modelos Anatómicos; Algoritmos; Endoscopía/métodos; Prueba de Estudio Conceptual; Procedimientos Quirúrgicos Otológicos/métodos

Palabras clave

anatomy detection; computer vision; endoscopic ear surgery; instrument detection

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cirugía Endoscópica Transanal Límite: Humans Idioma: En Revista: Otolaryngol Head Neck Surg Asunto de la revista: OTORRINOLARINGOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

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