From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments

28 February 2024

Papers citing "From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments"

8 / 8 papers shown

Title
S4M: Segment Anything with 4 Extreme Points A. Meyer Lorenzo Arboit Giuseppe Massimiani Francesco Brucchi Luca Emanuele Amodio Didier Mutter N. Padoy 34 0 0 07 Mar 2025
OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding Dianyi Yang Yu Gao Xihan Wang Yufeng Yue Yi Yang M. Fu 3DGS 64 1 0 03 Mar 2025
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review Ufaq Khan Umair Nawaz A. Qayyum Shazad Ashraf Muhammad Bilal Junaid Qadir 76 0 0 24 Feb 2025
Towards Robust Automation of Surgical Systems via Digital Twin-based Scene Representations from Foundation Models Hao Ding Lalithkumar Seenivasan Hongchao Shu Grayson Byrd Han Zhang Pu Xiao Juan Antonio Barragan Russell H. Taylor Peter Kazanzides Mathias Unberath 34 5 0 19 Sep 2024
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM Aditya Murali Pietro Mascagni Didier Mutter N. Padoy VLM MedIm 47 3 0 09 Jul 2024
SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective An-Chi Wang Mobarakol Islam Mengya Xu Yang Zhang Hongliang Ren AAML VLM 74 36 0 28 Apr 2023
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,637 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 288 75,800 0 18 May 2015