Deep learning for microscopic examination of protozoan parasites.
Comput Struct Biotechnol J
; 20: 1036-1043, 2022.
Article
em En
| MEDLINE
| ID: mdl-35284048
ABSTRACT
The infectious and parasitic diseases represent a major threat to public health and are among the main causes of morbidity and mortality. The complex and divergent life cycles of parasites present major difficulties associated with the diagnosis of these organisms by microscopic examination. Deep learning has shown extraordinary performance in biomedical image analysis including various parasites diagnosis in the past few years. Here we summarize advances of deep learning in the field of protozoan parasites microscopic examination, focusing on publicly available microscopic image datasets of protozoan parasites. In the end, we summarize the challenges and future trends, which deep learning faces in protozoan parasite diagnosis.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Comput Struct Biotechnol J
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China