This manuscript provides an in-depth review of the significance of quality control in herbal
medication products, focusing on its role in maintaining efficiency and safety. With a …

Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action
triplet recognition stands out as the only one aiming to provide truly fine-grained and …

Automatic surgical phase recognition is a challenging and crucial task with the potential to
improve patient safety and become an integral part of intra-operative decision-support …

In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …

Automatic surgical workflow recognition is a key component for developing context-aware
computer-assisted systems in the operating theatre. Previous works either jointly modeled …

Background Annotated data are foundational to applications of supervised machine
learning. However, there seems to be a lack of common language used in the field of …

Abstract Background and Objective: Automatic surgical workflow recognition is an essential
step in developing context-aware computer-assisted surgical systems. Video recordings of …

Purpose Surgical workflow estimation techniques aim to divide a surgical video into
temporal segments based on predefined surgical actions or objectives, which can be of …

Purpose Surgical workflow recognition has emerged as an important part of computer-
assisted intervention systems for the modern operating room, which also is a very …

This paper presents the design and results of the" PEg TRAnsfert Workflow
recognition"(PETRAW) challenge whose objective was to develop surgical workflow …