| University | Singapore University of Social Science (SUSS) |
| Subject | BME363: Applications of Artificial Intelligence in Healthcare |
Question 1
Please refer to the Nature Machine Intelligence article titled “Code-free deep learning for multi-modality medical image classification” at https://www.nature.com/articles/s42256 021-00305-2, or any relevant Celine sources (with appropriate citations), in order to answer the questions below.
(a) Discuss and distinguish between the major imaging modalities in ophthalmology.
(b) Define and explain automated machine leaming and its advantages
(c) Evaluate the deep learning model perfomance across the CFDI, platforms.
(4) Analyze and appraise the various Sores meful for the application of CFDL to medical diagnostic classification. Please prepare a video recording of yourself giving a presentation on this question, explaining the concepts in your own words, and submit the video file on Canvas ander Assignments by 30 September 2024, 2555
(e) Choose one CFD plakoen and demonstrate how the PPV, NIV, sitivity. specificity values are derived froes the confusion manc
(t) Exo the lanitations of CFDL. platforms in medical diagnostic image
classification
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