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IEEE/ICACT20250002 Question.3
Questioner: lcf1024@mail.ntou.edu.tw    2025-02-02 ¿ÀÈÄ 1:05:30
IEEE/ICACT20250002 Answer.3
Answer by Auhor jianms@nfu.edu.tw   2025-02-02 ¿ÀÈÄ 1:05:30
1. The authors purpose a unique Dynamic Bio-Information Image Recognition System (DBIRS) built for the real-time monitoring of cancer cell apoptosis produced by available medical therapy. Utilizing advances in microscopy, AI-based image recognition, and parallel computing across distributed edge devices, the proposed system dramatically boosts the precision and efficiency of cellular investigation. The system's efficiency is proven through trials on K-562 cells, where it attained a recognition accuracy of 97.41%. Please demonstrate the reasons for the recognition accuracy of 97.41% in detail. Thanks for your question. According to the same image from the microscope, we would recognize the image (cells) by researchers' manual operation and AI recognition. Due to the cell image would be cut by the edge of photo or crowded together, the counting result of manual operation will be a little differnt from the recognition result of AI. Hence, recognition accuracy can be estimated by AI recognization result to manual operation.

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