Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning

by   Shahnewaz Ali, et al.

Knee arthroscopy is a minimally invasive surgical (MIS) procedure which is performed to treat knee-joint ailment. Lack of visual information of the surgical site obtained from miniaturized cameras make this surgical procedure more complex. Knee cavity is a very confined space; therefore, surgical scenes are captured at close proximity. Insignificant context of knee atlas often makes them unrecognizable as a consequence unintentional tissue damage often occurred and shows a long learning curve to train new surgeons. Automatic context awareness through labeling of the surgical site can be an alternative to mitigate these drawbacks. However, from the previous studies, it is confirmed that the surgical site exhibits several limitations, among others, lack of discriminative contextual information such as texture and features which drastically limits this vision task. Additionally, poor imaging conditions and lack of accurate ground-truth labels are also limiting the accuracy. To mitigate these limitations of knee arthroscopy, in this work we proposed a scene segmentation method that successfully segments multi structures.



page 3

page 4


Surgery Scene Restoration for Robot Assisted Minimally Invasive Surgery

Minimally invasive surgery (MIS) offers several advantages including min...

Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery

Semantic tool segmentation in surgical videos is important for surgical ...

Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation

Tissue awareness has a great demand to improve surgical accuracy in mini...

Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources

Many tasks in robot-assisted surgeries (RAS) can be represented by finit...

Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks

Postoperative wound complications are a significant cause of expense for...

Automatic detection of surgical site infections from a clinical data warehouse

Reducing the incidence of surgical site infections (SSIs) is one of the ...

Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration

A fundamental challenge in retinal surgery is safely navigating a surgic...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.