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Intelligent Medical Image Annotation Training Lab
Introduction
Equipped with Neusoft Flytag medical image labeling platform, this training room provides an ideal professional practice environment for students to master the knowledge and skills of medical image segmentation, labeling and analysis in practice. Through practical operation, students can better understand the application of artificial intelligence in the field of medical imaging, and lay a solid foundation for becoming an artificial intelligence labeling engineer.

Applicable major: Artificial Intelligence/Intelligent Science and Technology/Intelligent Medical Engineering/Medical Imaging Technology/Computer related majors
Course product: Artificial Intelligence annotation
Project product: Head CT image data annotation, image data lung nodule annotation, image data pneumonia annotation
Application scenario: professional teaching, comprehensive practical training, competition training




Features

Relying on Neusoft characteristic industry, focus on medical data annotation
• Relying on Neusoft characteristic industry projects, combined with real scenes, focus on medical data annotation.

The platform is accurate and efficient
• The Neusoft Flymark Medical Image annotation platform installed in the training room is an innovative result of MISM (Medical Image Segmentation Model) based on medical image segmentation model. Through efficient segmentation technology, it can quickly and accurately identify lesions or anatomical structures in medical images. Which greatly improves the efficiency of medical image annotation and also ensures the accuracy of annotation results.