Semantic segmentation of surgical instruments plays a crucial role in robot-assisted surgery.
However, accurate segmentation of cataract surgical instruments is still a challenge due to …

Semantic segmentation of surgical instruments plays a critical role in computer-assisted
surgery. However, specular reflection and scale variation of instruments are likely to occur in …

In conventional robot-assisted minimally invasive procedures (RMIS), surgeons have narrow
visual and complex working spaces, along with specular reflection, blood, camera-lens …

Surgical instrument segmentation plays a promising role in robot-assisted surgery. However,
illumination issues often appear in surgical scenes, altering the color and texture of surgical …

With the advent of robot-assisted surgery, there has been a paradigm shift in medical
technology for minimally invasive surgery. However, it is very challenging to track the …

Video feedback provides a wealth of information about surgical procedures and is the main
sensory cue for surgeons. Scene understanding is crucial to computer assisted interventions …

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

Robot-assisted surgery is an emerging technology that has undergone rapid growth with the
development of robotics and imaging systems. Innovations in vision, haptics, and accurate …

We present our novel deep multi-task learning method for medical image segmentation.
Existing multi-task methods demand ground truth annotations for both the primary and …

Semantic image segmentation is the process of labeling each pixel of an image with its
corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a …