Evaluation of shape-descriptive and texture features as potential prognostic variables in...

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[HTML][HTML] Geographic atrophy segmentation using multimodal deep learning

T Spaide, J Jiang, J Patil, N Anegondi… - … Vision Science & …, 2023 - iovs.arvojournals.org
Purpose: To examine deep learning (DL)–based methods for accurate segmentation of
geographic atrophy (GA) lesions using fundus autofluorescence (FAF) and near-infrared …
被引用次数：9 相关文章 所有 8 个版本

Predicting geographic atrophy growth rate from fundus autofluorescence images using deep neural networks

N Anegondi, Q Yang, M Kawczynski… - Multimodal …, 2021 - spiedigitallibrary.org
Geographic atrophy (GA) is late-stage dry age-related macular degeneration (AMD).
Improved predictors of GA progression would be useful in clinical trial design and may be …
被引用次数：6 相关文章 所有 3 个版本