Overview
Image Annotation of different types of surgical tools to be used in building an AI Model to aid in autonomous detection of different types of surgical tools
Image Annotation of different types of surgical tools to be used in building an AI Model to aid in autonomous detection of different types of surgical tools
The Problem
Locating an instrument’s contour within a surgical scene is a generic problem in Computer-Assisted Interventions (CAI). Solving this with the help of AI would help many key clinical applications in Surgical Data Science.
Solution
Use of annotated data for machine learning model, aiding the detection of tools autonomously during an event of surgery
Process
STEP 1
Identifying a range of boundary conditions for the instrument images
STEP 2
Manual annotation of the surgical tools by an expert workforce
STEP 3
Various different types of labeling done for specific instruments like classifying the body elements of the tools
STEP 1
Identifying a range of boundary conditions for the instrument images
STEP 2
Manual annotation of the surgical tools by an expert workforce
STEP 3
Various different types of labeling done for specific instruments like classifying the body elements of the tools
Achievement
Fascilitated surgical tool classification in real-time enabling computerized assistance to the surgeons in conducting different operations
Provisioned large datasets and the emergence of convolutional neural networks (CNN) that have paved the way for the development of different image related processes