Marteck Solutions and Medical Annotation


Posted July 31, 2021 by Marteck

Significance of AI Solutions in Medical Annotation
 
AI solutions have become an integral part of the healthcare sector, and hence the requirement for medical annotators has evolved. The data annotation tools have experienced massive growth. The market size in 2019 in Europe was worth USD 390.1 million but is now expected to increase by 27 per cent between 2020 and 2027. As there is a greater demand, there are many companies like Marteck Solutions whose main objective is to offer data labellers with specialized training to use advanced annotation tools.

Image annotation services UK has a team with a good eye for detail to perform their roles effectively. Data annotation is the crucial aspect to setting up an AI-based tool. It may be time-consuming, but needs to be performed with precision to design in-depth neural diagnostic analysis. There wouldn’t be any AI-based software tools without it.

Role In AI Medical Diagnostics
Medical image annotation is a process that involves the data labelling services France like CT scan, MRI and Ultrasound for ML training. You can detect distinct types of diseases with the help of AI-based tools, machines as well as computer models. Whether it is a simple bone fracture or a life-threatening disease like cancer, you can spot the issues at a microscopic level through correct predictions.

Types Of Documents Annotated Using Medical Imaging Annotation
• CT-Scan
• X-Rays
• MRI
• DICOM
• Ultrasound
• Videos
• NIFTI

Annotation of these critical documents with the highest level of accuracy is of paramount importance. With the help of Data annotation specialist Germany, you can get the right predictions.
-- END ---
Share Facebook Twitter
Print Friendly and PDF DisclaimerReport Abuse
Contact Email [email protected]
Issued By Marteck Solutions
Country India
Categories Health , Medical
Tags annotation services , data annotation , digital healcare , marteck solutions , martecksolutions , medical annotation , teleradiology
Last Updated July 31, 2021