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Image Restoration and Synthesis for Medical Optical Imaging (ART/390CP)

Project Title:
Image Restoration and Synthesis for Medical Optical Imaging (ART/390CP)
Project Reference:
ART/390CP
Project Type:
Platform
Project Period:
08 / 08 / 2024 - 07 / 02 / 2026
Funds Approved (HK$’000):
9,592.725
Project Coordinator:
Dr Lu WANG
Deputy Project Coordinator:
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Deliverable:
Research Group:
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Sponsor:

MOTIC HONG KONG LIMITED (Contract Service)
Golden Imaging (Hong Kong) Company Limited

Description:

Medical images are closely related to everyone's health. They are crucial in clinical applications such as disease diagnosis, surgical treatment, and prognosis assessment. Statistics show that more than 75% of diagnoses rely on medical images. Poor-quality medical images can lead to misdiagnosis or missed diagnoses by doctors, significantly impacting patients' treatment effects. Therefore, the quality of images produced by medical equipment is critical for accurate diagnostic results. In this project, we will leverage the latest generative AI technologies such as Diffusion, Generative Adversarial Networks (GANs), and Transformers, combined with deep neural network (DNN) technologies. Our main objective is to develop a professional algorithm library for image restoration and view synthesis in medical optical imaging systems. The goal is to enhance the imaging quality directly from the equipment source and provide efficient solutions to support the medical imaging industry.

Co-Applicant:
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Keywords:
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