Mind+
Mind+ is an innovative project that utilizes cutting-edge artificial intelligence (AI)
technology to analyze optical coherence tomography (OCT) images in
ophthalmology. With the goal of developing a deep learning-based automated system,
Mind+ aims to accurately detect and diagnose eye diseases with speed and efficiency.
The system employs advanced image processing techniques and deep neural networks
to automatically identify signs of eye diseases and provide doctors with better
diagnosis and treatment recommendations. In addition, Mind+ can be used for eye
health monitoring, which can help raise awareness about eye health. Notably, Mind+
is the first OCT image segmentation and classification AI module globally, and the
first system to use 3D OCT to display blood vessels, which can enhance the efficiency
of diagnosis for eye doctors.
Mind+是一個利用人工智能和深度學習技術分析眼科光學相干斷層掃描圖像的系
統,使用先進的影像處理技術和深度神經網絡,快速和準確地檢測眼部疾病的
跡象和作出診斷,為醫生提供更好的診斷和治療建議,並可應用於眼部健康監
測,提高人們對眼部健康的關注。
Members
- Mr. CHANG Hing Lam (Maurice)
- Mr. ABAXI Sai Mu Dalike (Tariq)
- Ms. LI Hee Ying (Yen)
- Ms. LI Yin Hei
- Ms. NG Ka Ki
Status
Current Team (2023 Spring Intake)