Cover Image

Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic Surgery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sheng, Yuyang, Bano, Sophia, Clarkson, Matthew J., Islam, Mobarakol
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)

SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation
by: Yu, Jieming, et al.
Published: (2024)

PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
by: He, Runlong, et al.
Published: (2024)

Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery
by: Xu, Mengya, et al.
Published: (2024)

De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation
by: Xu, Qing, et al.
Published: (2024)

SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation
by: Yue, Wenxi, et al.
Published: (2023)

DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model
by: Zeinoddin, Mona Sheikh, et al.
Published: (2024)

SAM3-DMS: Decoupled Memory Selection for Multi-target Video Segmentation of SAM3
by: Shen, Ruiqi, et al.
Published: (2026)

Surgical-VQLA++: Adversarial Contrastive Learning for Calibrated Robust Visual Question-Localized Answering in Robotic Surgery
by: Bai, Long, et al.
Published: (2024)

Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery
by: Cui, Beilei, et al.
Published: (2024)

From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments
by: Oguine, Kanyifeechukwu J., et al.
Published: (2024)

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation
by: Yin, Ming, et al.
Published: (2025)

SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
by: Chen, Pengfei, et al.
Published: (2024)

SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation
by: Zhou, Xudong, et al.
Published: (2024)

More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery
by: Dong, Wenzhen, et al.
Published: (2025)

SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation
by: Huang, Shuangping, et al.
Published: (2024)

EMA-SAM: Exponential Moving-average for SAM-based PTMC Segmentation
by: Dialameh, Maryam, et al.
Published: (2025)

SSP-SAM: SAM with Semantic-Spatial Prompt for Referring Expression Segmentation
by: Tang, Wei, et al.
Published: (2026)

Black-box Targeted Adversarial Attack on Segment Anything (SAM)
by: Zheng, Sheng, et al.
Published: (2023)

Illumination Histogram Consistency Metric for Quantitative Assessment of Video Sequences
by: Chen, Long, et al.
Published: (2024)

From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model
by: Geetha, Athulya Sundaresan, et al.
Published: (2024)

CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
by: Gowda, Shreyank N, et al.
Published: (2024)

3DTeethSAM: Taming SAM2 for 3D Teeth Segmentation
by: Lu, Zhiguo, et al.
Published: (2025)

HFP-SAM: Hierarchical Frequency Prompted SAM for Efficient Marine Animal Segmentation
by: Zhang, Pingping, et al.
Published: (2026)

SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
by: Chen, Jialei, et al.
Published: (2024)

Seg2Track-SAM2: SAM2-based Multi-object Tracking and Segmentation
by: Mendonça, Diogo, et al.
Published: (2025)

OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery
by: Bai, Long, et al.
Published: (2024)

Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom
by: Das, Adrito, et al.
Published: (2024)

WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
by: Liu, Hong, et al.
Published: (2024)

ReMeDI: Refined Memory for Disambiguation of Identities with SAM3 in Surgical Segmentation
by: Bundele, Valay, et al.
Published: (2025)

Guided SAM: Label-Efficient Part Segmentation
by: van Rooij, S. B., et al.
Published: (2025)

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation
by: Dutta, Tapas Kumar, et al.
Published: (2024)

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
by: Xie, Bin, et al.
Published: (2025)

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation
by: Zhang, Weiming, et al.
Published: (2026)

CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation
by: Chen, Shuai, et al.
Published: (2025)

ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts
by: Wang, Xiaoqi, et al.
Published: (2025)

OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
by: Xiao, Shiting, et al.
Published: (2025)

PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary Surgery
by: He, Runlong, et al.
Published: (2025)

pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
by: Wang, Tong, et al.
Published: (2025)

Benchmarking CNN- and Transformer-Based Models for Surgical Instrument Segmentation in Robotic-Assisted Surgery
by: Ameli, Sara
Published: (2026)