UMInSe: An Unsupervised Method for Segmentation and Detection of Surgical Instruments based on K-means.

Surgical instrument segmentation in images is crucial for improving precision and efficiency in surgery, but it currently relies on costly and labor-intensive manual annotations. An unsupervised approach is a promising solution to this challenge. This paper introduces a surgical instrument segmentat...

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Detalles Bibliográficos

Publicado en:	Revista Mexicana de Ingeniería Biomédica Vol. 45; no. 3; pp. 20 - 51
Autores principales:	Eduardo Arevalo-Ancona, Rodrigo, Haro-Mendoza, Daniel, Cedillo-Hernandez, Manuel, Gonzalez-Villela, Victor J.
Formato:	Artículo
Publicado:	Sociedad Mexicana de Ingenieria Biomedica, A.C. Sep-Dec2024
Materias:	Surgical instruments K-means clustering Robot motion Databases Operative surgery
Acceso en línea:	Ver este registro en EBSCOhost