| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 3625060 | 智慧醫療影像與訊號處理 | Intelligent Medical Imaging and Signal Processing | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程探討智慧醫療影像與生醫訊號處理技術及其在臨床應用中的分析與判讀方法。課程涵蓋醫學影像與訊號處理的基本概念，包括影像增強、雜訊抑制、濾波、邊緣偵測、影像分割與對齊等原理與技術，以及生醫訊號之前處理與特徵擷取方法。在此基礎上，進一步介紹機器學習與深度學習於醫療影像分類、偵測與分割之應用。課程同時涵蓋模型評估指標、模型統計與可解釋性分析，以及影像—文字多模態模型在輔助臨床判讀中的潛力與限制。此外亦探討資料倫理、隱私治理與主權 AI 等議題，使學生了解醫療影像模型部署於實際場域時所面臨的挑戰。 | |||
| 英文概述 English Description | This course explores intelligent medical imaging and biomedical signal processing techniques, along with their analytical and interpretive methods in clinical applications. It covers fundamental concepts of medical image and signal processing, including the principles and techniques of image enhancement, noise suppression, filtering, edge detection, image segmentation, and registration, as well as biomedical signal preprocessing and feature extraction methods. Building upon this foundation, the course further introduces the application of machine learning and deep learning to medical image classification, detection, and segmentation. It also addresses model evaluation metrics, model statistics, interpretability analysis, and the potential and limitations of image–text multimodal models in assisting clinical interpretation. In addition, topics such as data ethics, privacy governance, and sovereign AI are discussed, enabling students to understand the challenges of deploying medical ima | |||
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