Protocol for performing deep learning-based fundus fluorescein angiography image analysis with classification and segmentation tasks.
STAR Protoc
; 5(3): 103134, 2024 Sep 20.
Article
em En
| MEDLINE
| ID: mdl-38900632
ABSTRACT
Fundus fluorescein angiography (FFA) examinations are widely used in the evaluation of fundus disease conditions to facilitate further treatment suggestions. Here, we present a protocol for performing deep learning-based FFA image analytics with classification and segmentation tasks. We describe steps for data preparation, model implementation, statistical analysis, and heatmap visualization. The protocol is applicable in Python using customized data and can achieve the whole process from diagnosis to treatment suggestion of ischemic retinal diseases. For complete details on the use and execution of this protocol, please refer to Zhao et al.1.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
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Angiofluoresceinografia
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Aprendizado Profundo
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Fundo de Olho
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article