Papers Surgical phase recognition
“Surgical phase recognition” 태그가 달린 논문 86편 · 필터 해제
Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition
Task-specific lightweight models for surgical phase recognition excel at capturing temporal dynamics but generalize poorly under domain shift. Conversely, surgical foundation models (FMs) offer superior transferability v…
Surgical phase recognitionBeyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment
Surgical performance assessment in minimally invasive surgery largely relies on manual expert review, making it time-consuming, subjective, and difficult to scale. While existing surgical video understanding methods addr…
Surgical phase recognitionAction RecognitionTemporally Consistent Label Interpolation for Robust Surgical Multi-Task Learning under Challenging Conditions
Effective multi-task learning for surgical scene understanding is fundamentally hindered by annotation granularity mismatch; temporal workflow tasks such as phase recognition, step recognition and anticipation benefit fr…
Surgical phase recognitionOptical Flow EstimationRepresentation LearningMulti-Task LearningGEN-Guard: Correcting Generalization Failures for Deployable Federated Surgical AI
Federated Learning (FL) in surgical video AI enables collaborative model training without sharing sensitive data. However, standard evaluation practices - selecting the "best" global model based only on validation data f…
Surgical phase recognitionZero-shot GeneralizationFederated LearningPolyp SegmentationSurgicalMamba: Dual-Path SSD with State Regramming for Online Surgical Phase Recognition
Online surgical phase recognition must commit to a prediction at every frame of a procedure that runs for hours, from past frames alone and at a per-frame cost that does not grow with elapsed length. Structured state-spa…
Surgical phase recognitionStabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition
Online Surgical Phase Recognition (SPR) models can reach high frame-wise accuracy, yet their predictions often lack temporal stability, fragmenting workflow understanding and reducing the reliability of downstream assist…
Surgical phase recognitionWhere are they looking in the operating room?
Purpose: Gaze-following, the task of inferring where individuals are looking, has been widely studied in computer vision, advancing research in visual attention modeling, social scene understanding, and human-robot inter…
Surgical phase recognitionScene UnderstandingActivity DetectionSurgPhase: Time efficient pituitary tumor surgery phase recognition via an interactive web platform
Accurate surgical phase recognition is essential for analyzing procedural workflows, supporting intraoperative decision-making, and enabling data-driven improvements in surgical education and performance evaluation. In t…
Surgical phase recognitionRepresentation LearningCauCLIP: Bridging the Sim-to-Real Gap in Surgical Video Understanding via Causality-Inspired Vision-Language Modeling
Surgical phase recognition is a critical component for context-aware decision support in intelligent operating rooms, yet training robust models is hindered by limited annotated clinical videos and large domain gaps betw…
Surgical phase recognitionA Stitch in Time: Learning Procedural Workflow via Self-Supervised Plackett-Luce Ranking
Procedural activities, ranging from routine cooking to complex surgical operations, are highly structured sequences of actions performed in a specific temporal order. Despite the success of current self-supervised learni…
Surgical phase recognitionSelf-Supervised LearningRepresentation LearningAction SegmentationVideo Dataset for Surgical Phase, Keypoint, and Instrument Recognition in Laparoscopic Surgery (PhaKIR)
Robotic- and computer-assisted minimally invasive surgery (RAMIS) is increasingly relying on computer vision methods for reliable instrument recognition and surgical workflow understanding. Developing such systems often …
Surgical phase recognitionInstrument RecognitionInstance SegmentationScene UnderstandingLeveraging Generic Foundation Models for Multimodal Surgical Data Analysis
We investigate how both the adaptation of a generic foundation model via transfer learning and the integration of complementary modalities from the operating room (OR) can support surgical data science. To this end, we u…
Surgical phase recognitionTransfer LearningDomain AdaptationAnalysis of Transferability Estimation Metrics for Surgical Phase Recognition
Fine-tuning pre-trained models has become a cornerstone of modern machine learning, allowing practitioners to achieve high performance with limited labeled data. In surgical video analysis, where expert annotations are e…
Surgical phase recognitionComparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minimally invasive surgery (RAMIS), including…
Surgical phase recognitionInstrument RecognitionInstance SegmentationScene UnderstandingSurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition
Surgical phase recognition plays a crucial role in surgical workflow analysis, enabling various applications such as surgical monitoring, skill assessment, and workflow optimization. Despite significant advancements in d…
Surgical phase recognitionGeo-RepNet: Geometry-Aware Representation Learning for Surgical Phase Recognition in Endoscopic Submucosal Dissection
Surgical phase recognition plays a critical role in developing intelligent assistance systems for minimally invasive procedures such as Endoscopic Submucosal Dissection (ESD). However, the high visual similarity across d…
Surgical phase recognitionComputational EfficiencyRepresentation LearningCPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection
Gastrointestinal malignancies constitute a leading cause of cancer-related mortality worldwide, with advanced-stage prognosis remaining particularly dismal. Originating as a groundbreaking technique for early gastric can…
Surgical phase recognitionHolistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models
Surgical workflow analysis is essential in robot-assisted surgeries, yet the long duration of such procedures poses significant challenges for comprehensive video analysis. Recent approaches have predominantly relied on …
State Space ModelsSurgical phase recognitionRecognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
The complexity and diversity of surgical workflows, driven by heterogeneous operating room settings, institutional protocols, and anatomical variability, present a significant challenge in developing generalizable models…
Surgical phase recognitionTest-time AdaptationMeta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition
Online surgical phase recognition has drawn great attention most recently due to its potential downstream applications closely related to human life and health. Despite deep models have made significant advances in captu…
Meta-LearningOnline surgical phase recognitionSurgical phase recognition