Development of an Optimized Deep Learning Model for Medical Imaging
Journal of the Korean Radiological Society
;
: 1274-1289, 2020.
Artigo
em Inglês
| WPRIM
| ID: wpr-893591
ABSTRACT
Deep learning has recently become one of the most actively researched technologies in the field of medical imaging. The availability of sufficient data and the latest advances in algorithms are important factors that influence the development of deep learning models. However, several other factors should be considered in developing an optimal generalized deep learning model. All the steps, including data collection, labeling, and pre-processing and model training, validation, and complexity can affect the performance of deep learning models. Therefore, appropriate optimization methods should be considered for each step during the development of a deep learning model. In this review, we discuss the important factors to be considered for the optimal development of deep learning models.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo prognóstico
Idioma:
Inglês
Revista:
Journal of the Korean Radiological Society
Ano de publicação:
2020
Tipo de documento:
Artigo
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