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Macular Degeneration

Kyoko Ohno-Matsui, EURETINA 2021: Advantages and Limitations of a Deep Learning Algorithm

Published Online: September 20th 2021

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.

Questions

  1. 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)
  2. 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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