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 Majors: Artificial Intelligence/Intelligent Science and Technology/Intelligent Medical Engineering/Medical Imaging Technology/Computer related majors
Course Products: professional core courses and professional expansion courses with directions
Project Products: multi-dimensional medical image data annotation projects based on the background of medical image annotation industry
Application Scenarios: professional teaching, comprehensive practical training, competition training
Feature
Relying on Neusoft characteristic industry
• 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, greatly improving the efficiency of medical image annotation and ensuring the accuracy of annotation results.
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 Majors: Artificial Intelligence/Intelligent Science and Technology/Intelligent Medical Engineering/Medical Imaging Technology/Computer related majors
Course Products: professional core courses and professional expansion courses with directions
Project Products: multi-dimensional medical image data annotation projects based on the background of medical image annotation industry
Application Scenarios: professional teaching, comprehensive practical training, competition training
Feature
Relying on Neusoft characteristic industry
• 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, greatly improving the efficiency of medical image annotation and ensuring the accuracy of annotation results.