U-Net: deep learning for cell counting, detection, and morphometry.
Nat Methods
; 16(1): 67-70, 2019 01.
Article
en En
| MEDLINE
| ID: mdl-30559429
ABSTRACT
U-Net is a generic deep-learning solution for frequently occurring quantification tasks such as cell detection and shape measurements in biomedical image data. We present an ImageJ plugin that enables non-machine-learning experts to analyze their data with U-Net on either a local computer or a remote server/cloud service. The plugin comes with pretrained models for single-cell segmentation and allows for U-Net to be adapted to new tasks on the basis of a few annotated samples.
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Recuento de Células
/
Aprendizaje Profundo
Tipo de estudio:
Diagnostic_studies
Idioma:
En
Revista:
Nat Methods
Asunto de la revista:
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Año:
2019
Tipo del documento:
Article