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Review Nov 2026

ATLAS: A Multi-Procedure Benchmark and Context-Aware Model for Surgical Anatomy Segmentation

Recognizing anatomical structures during minimally invasive surgery (MIS) could support intraoperative navigation and improve patient safety, but progress is limited by small, single-procedure datasets and by segmentation methods developed for natural scenes. This work addresses both limitations through a new dataset a...

R. de Jong, T. Jaspers, Raf A. H. Vervoort et al. · 0 citations
Open access Jul 2026

Automatic recognition of anatomical structures and surgical phases in robot-assisted minimally invasive esophagectomy (RAMIE) using deep learning: a retrospective cohort study

This study identified suitable models for computer-aided, real-time anatomy and surgical tool segmentation and surgical phase recognition for the thoracic part of RAMIE and achieved acceptable performance while both datasets are highly complex.

R. V. van Jaarsveld, Yiping Li, Ronald de Jong et al. · 1 citation

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