Surgicalsam: Efficient class promptable surgical instrument segmentation
The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised
image segmentation. To apply SAM to surgical instrument segmentation, a common …
image segmentation. To apply SAM to surgical instrument segmentation, a common …
[HTML][HTML] Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
T Rueckert, D Rueckert, C Palm - Computers in Biology and Medicine, 2024 - Elsevier
In the field of computer-and robot-assisted minimally invasive surgery, enormous progress
has been made in recent years based on the recognition of surgical instruments in …
has been made in recent years based on the recognition of surgical instruments in …
Trans-svnet: Accurate phase recognition from surgical videos via hybrid embedding aggregation transformer
Real-time surgical phase recognition is a fundamental task in modern operating rooms.
Previous works tackle this task relying on architectures arranged in spatio-temporal order …
Previous works tackle this task relying on architectures arranged in spatio-temporal order …
Concepts and trends in autonomy for robot-assisted surgery
Surgical robots have been widely adopted with over 4000 robots being used in practice
daily. However, these are telerobots that are fully controlled by skilled human surgeons …
daily. However, these are telerobots that are fully controlled by skilled human surgeons …
Exploring intra-and inter-video relation for surgical semantic scene segmentation
Automatic surgical scene segmentation is fundamental for facilitating cognitive intelligence
in the modern operating theatre. Previous works rely on conventional aggregation modules …
in the modern operating theatre. Previous works rely on conventional aggregation modules …
Trasetr: track-to-segment transformer with contrastive query for instance-level instrument segmentation in robotic surgery
Surgical instrument segmentation-in general a pixel classification task-is fundamentally
crucial for promoting cognitive intelligence in robot-assisted surgery (RAS). However …
crucial for promoting cognitive intelligence in robot-assisted surgery (RAS). However …
Fun-sis: A fully unsupervised approach for surgical instrument segmentation
Automatic surgical instrument segmentation of endoscopic images is a crucial building block
of many computer-assistance applications for minimally invasive surgery. So far, state-of-the …
of many computer-assistance applications for minimally invasive surgery. So far, state-of-the …
From forks to forceps: A new framework for instance segmentation of surgical instruments
Minimally invasive surgeries and related applications demand surgical tool classification
and segmentation at the instance level. Surgical tools are similar in appearance and are …
and segmentation at the instance level. Surgical tools are similar in appearance and are …
Matis: Masked-attention transformers for surgical instrument segmentation
We propose Masked-Attention Transformers for Surgical Instrument Segmentation (MATIS),
a two-stage, fully transformer-based method that leverages modern pixel-wise attention …
a two-stage, fully transformer-based method that leverages modern pixel-wise attention …
Simultaneous depth estimation and surgical tool segmentation in laparoscopic images
Surgical instrument segmentation and depth estimation are crucial steps to improve
autonomy in robotic surgery. Most recent works treat these problems separately, making the …
autonomy in robotic surgery. Most recent works treat these problems separately, making the …