SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective

SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective

28 April 2023

Mobarakol Islam

Hongliang Ren

Papers citing "SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective"

9 / 9 papers shown

Title
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation Mothilal Asokan Difei Gao Joya Chen Mike Zheng Shou FedML MedIm 39 1 0 31 Jul 2024
SAVE: Segment Audio-Visual Easy way using Segment Anything Model Khanh-Binh Nguyen Chae Jung Park VLM VOS 42 1 0 02 Jul 2024
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception Anushri Dixit Zhiting Mei Meghan Booker Mariko Storey-Matsutani Mariko Storey-Matsutani Allen Z. Ren Ola Shorinwa Anirudha Majumdar 29 5 0 13 Mar 2024
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images Aayushi Tyagi Vaibhav Mishra AP Prathosh Mausam VLM 40 1 0 29 Nov 2023
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification Yichi Zhang Shiyao Hu Sijie Ren Chen Jiang Yuan-Chia Cheng Yuan Qi MedIm 17 3 0 17 Nov 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 34 90 0 14 May 2023
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey Yichi Zhang Rushi Jiao MedIm VLM 27 26 0 05 May 2023
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need An-Chi Wang Mobarakol Islam Mengya Xu Hongliang Ren 55 17 0 23 Jun 2022
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning Mobarakol Islam Daniel Anojan Atputharuban Ravikiran Ramesh Hongliang Ren MedIm 78 94 0 22 Jul 2020