Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …

Minimally invasive medicine has become mainstream because of its crucial clinical
significance in providing a low risk of postoperative complications, limited blood loss, short …

In mainstream computer vision and machine learning, public datasets such as ImageNet,
COCO and KITTI have helped drive enormous improvements by enabling researchers to …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

Surgical tool detection is attracting increasing attention from the medical image analysis
community. The goal generally is not to precisely locate tools in images, but rather to …

Instrument detection, pose estimation, and tracking in surgical videos are an important vision
component for computer-assisted interventions. While significant advances have been made …

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and
robotic-assisted interventions. While numerous methods for detecting, segmenting and …

Surgical-tool joint detection from laparoscopic images is an important but challenging task in
computer-assisted minimally invasive surgery. Illumination levels, variations in background …

Background and objective: Surgical tool detection, segmentation, and 3D pose estimation
are crucial components in Computer-Assisted Laparoscopy (CAL). The existing frameworks …

We study the task of semantic segmentation of surgical instruments in robotic-assisted
surgery scenes. We propose the Instance-based Surgical Instrument Segmentation Network …