Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data
Over the past few years, surgical data science has attracted substantial interest from the
machine learning (ML) community. Various studies have demonstrated the efficacy of …
machine learning (ML) community. Various studies have demonstrated the efficacy of …
UMInSe: An Unsupervised Method for Segmentation and Detection of Surgical Instruments based on K-means
RE Arevalo-Ancona, D Haro-Mendoza… - Revista Mexicana de …, 2024 - rmib.com.mx
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 …
in surgery, but it currently relies on costly and labor-intensive manual annotations. An …