Kyoko Ohno-Matsui, EURETINA 2021: Advantages and Limitations of a Deep Learning Algorithm
We were delighted to speak with Kyoko Ohno-Matsui (Tokyo Medical and Dental University, Tokyo, Japan) about the potential advantages and limitations of a deep learning algorithm for automated detection of myopic maculopathy and pathologic myopia in fundus images, and the challenges in developing this algorithm.
- What are the potential advantages and limitations of a deep learning algorithm for automated detection of myopic maculopathy and pathologic myopia in fundus images? (00:25)
- What were the challenges in developing a deep learning algorithm? (02:23)
Speaker Disclosure: Kyoko Ohno-Matsui has no financial or non-financial relationships or activities to declare in relation to this interview.
Support: Interview and filming supported by Touch Medical Media Ltd. Interview conducted by Lisa Glass.
Filmed in coverage of EURETINA 2021.
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