Improving Interpretability in Machine Diagnosis: Detection of Geographic Atrophy in OCT Scans

PURPOSE: Manually identifying geographic atrophy (GA) presence and location on OCT volume scans can be challenging and time consuming. This study developed a deep learning model simultaneously (1) to perform automated detection of GA presence or absence from OCT volume scans and (2) to provide inter...

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Detalles Bibliográficos
Autores principales: Shi, Xiaoshuang, Keenan, Tiarnan D.L., Chen, Qingyu, De Silva, Tharindu, Thavikulwat, Alisa T., Broadhead, Geoffrey, Bhandari, Sanjeeb, Cukras, Catherine, Chew, Emily Y., Lu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559084/
https://www.ncbi.nlm.nih.gov/pubmed/36247813
http://dx.doi.org/10.1016/j.xops.2021.100038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559084/
https://www.ncbi.nlm.nih.gov/pubmed/36247813
http://dx.doi.org/10.1016/j.xops.2021.100038

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