SOTAVerified

Surgical phase recognition

The first 40 videos are used for training, the last 40 videos are used for testing.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 69 papers

TitleStatusHype
Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy—0
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark—0
DeepPhase: Surgical Phase Recognition in CATARACTS Videos—0
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases—0
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections—0
fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models—0
Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition—0
Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models—0
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks—0
Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition—0
MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition—0
Neural Finite-State Machines for Surgical Phase Recognition—0
OperA: Attention-Regularized Transformers for Surgical Phase Recognition—0
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation—0
Quantification of Robotic Surgeries with Vision-Based Deep Learning—0
ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model—0
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning—0
Surgeons vs. Computer Vision: A comparative analysis on surgical phase recognition capabilities—0
Surgical Phase Recognition in Laparoscopic Cholecystectomy—0
Surgical Phase Recognition of Short Video Shots Based on Temporal Modeling of Deep Features—0
Surgical Temporal Action-aware Network with Sequence Regularization for Phase Recognition—0
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition—0
SurgPLAN: Surgical Phase Localization Network for Phase Recognition—0
Thoracic Surgery Video Analysis for Surgical Phase Recognition—0
Towards Intelligent Speech Assistants in Operating Rooms: A Multimodal Model for Surgical Workflow Analysis—0
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All datasetsCholec80HeiChole BenchmarkMISAWGraSP

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SF-TMN(ASFormer)Acc95.43—Unverified
2LoViTF190.24—Unverified
3MSNF189.6—Unverified
4MuSTF185.57—Unverified
5MoCo V2 Surg SSL - TCN headF181.6—Unverified
6TCNF180.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MuSTF177.25—Unverified
2CAMMA1 (challenge model)F168.8—Unverified
3HIKVision (challenge model)F165.4—Unverified
4CUHK (challenge model)F165—Unverified
5MoCo V2 Surg SSL - TCN headF164.7—Unverified
#ModelMetricClaimedVerifiedStatus
1MuSTmAP98.08—Unverified
2TAPISmAP97.14—Unverified
3TAPIRmAP94.24—Unverified
#ModelMetricClaimedVerifiedStatus
1MuSTmAP79.14—Unverified
2TAPISmAP76.72—Unverified