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Sugao Miyagi on Muck Rack

Sugao Miyagi

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Articles

Latent space structure of retinal age: an artificial intelligence–based analysis of aging in fundus images

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By Akira Machida, Eriko Machida, Fumito Akiyama, Akio Oishi, Kiichi Maeda, Sugao Miyagi, Ryuya Murakami
| Nature Verified
Abstract This study investigated whether age-related variation is organized as a geometric structure in latent space and how fine-tuning reshapes this representation. Fundus photographs from fellow eyes of patients who underwent macular surgery were retrospectively analyzed. After quality control, 4,602 images (885 eyes) were split into training and test sets by age. A retinal age prediction model trained on the Japan Ocular Imaging Registry was fine-tuned.
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