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Case Study
Enhancing Surgical Tool Recognition through Precise Data Annotation
Medical Image Annotation Project
Supervisely Platform
17 Refugees
in Syria impacted through this project
2365 medical images
annotated with ultra high precision
Annotation Type
Polygon
Classification
Medical Data Annotation
Challenge :
Our client faced significant hurdles in accurately detecting the true features of surgical tools. Precisely distinguishing their boundaries, particularly in areas obscured by tissue or blood cells, proved challenging.
This hindered efforts to accurately identify tools and ultimately impeded precise surgical intervention.
Compounding this challenge was the difficulty of securing the expertise of real surgeons to supervise the project.
Surgeons’ time is incredibly valuable, and their participation in such projects requires not only expertise but also the willingness to dedicate significant time for oversight.
This presented a significant hurdle in achieving the 99% accuracy our client desired.
Solution :
Our task was to provide accurate and effective annotation services. Leveraging our expertise in medical image annotation,
we aimed to enhance the client’s capabilities in accurately identifying surgical tools, thereby increasing the robot’s ability to use surgical tools accurately and effectively.
FEATURES
Implementation:
Expert MedTech Annotation Team
We've formed a team of 10 skilled medical image annotators specializing in labeling surgical instruments. They're supervised by 5 surgeons who ensure the annotations reflect real-world surgical practices accurately.
Supervisely Platform
Supervisely's intuitive polygon annotation tool was employed to precisely outline the boundaries of each surgical instrument. This platform facilitated a streamlined and efficient annotation workflow.
Rigorous Quality Control
We implemented multi-level quality control measures to guarantee the accuracy and consistency of annotations. This ensured the resulting dataset met the highest standards.
Result:
Through precise annotation of surgical tool images by our expert medtech annotators supervised by surgeons,
we achieved a remarkable 99% accuracy rate in tool recognition.
This significant leap in accuracy empowered our client to significantly enhance their ability to recognize surgical tools and their distinctive shapes, even when obscured by blood or tissue.
Providing a set of accurately annotated datasets contributed to enhancing the robot’s ability to use appropriate surgical tools and their temporal sequencing, ultimately impacting the delivery of proper healthcare to patients.
Conclusion
SubulDataAnnotation’s expertise in medical image annotation, coupled with our team of expert medtech annotators supervised by surgeons, played a pivotal role in empowering the client’s surgical robotics technology.
By providing a comprehensive dataset of accurately annotated medical tool images, SubulDataAnnotation helped the client achieve its goal of developing more precise and effective surgical robots, ultimately leading to improved patient care.
How Subul Data Annotation Works For You
Personalized and Fully Managed
Get a dedicated project manager to handle everything from guidelines to quality control, ensuring a seamless experience from start to finish.
Multilayer Quality Control
Experience the assurance of multi-tiered QC processes, including peer review and expert checks, guaranteeing a minimum accuracy of 98%.
Diverse and Scalable Workforce
Access a diverse team of industry experts, assembled within 72 hours, tailored to fit your project's specific needs and scale.
Unbiased and Compliant
Rely on our rigorously trained workforce for unbiased data, perfectly aligned with international privacy and AI standards.
Express Delivery
Benefit from our dynamic workforce, capable of rapidly scaling up to meet tight deadlines and ensure swift project delivery.
Direct Social Impact
Make a difference with every project; our entire workforce comes from refugee and disadvantaged backgrounds, contributing to social goals.
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