
ASTRI has been developing an AI-aided medical image analytics system for collaborative diagnosis, image management, lesion detection, and classification in pathology images and capsule endoscopy videos. This technology can help doctors improve diagnosis and work efficiency.
•Medical image analysis is very time-consuming for doctors
•Impossible for doctors to analyze all collected medical images
•Images with unobvious features are easily overlooked by doctors with inadequate experience
•Medical diagnosis is location-restricted
The medical image analytics system includes:
-Lesion detection for ultra-long (several hours) video analysis of capsule endoscopes
-Malignant cell screening for digitalized whole slide (file size reaches several GB) cervical pathological image
Image enhancement, video summary and location segmentation for system performance improvement
Model design and optimization for accuracy improvement and processing speed acceleration.
-Unified platform management for ease of use.
AI-aided
-Malignant cell detection in pathology image
-Lesion detection and cancer identification in endoscopy video
The Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong's competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under five Technology Divisions: AI and Big Data Analytics; Communications; Cybersecurity, Cryptography and Trusted Technologies; Integrated Circuits and Systems; and IoT and Sensors. It is applied across five core areas which are Smart City, Financial Technologies, Intelligent Manufacturing, Digital Health, and Application Specific Integrated Circuits.