Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
Ultrasonography
;
: 7-22, 2021.
Article
in English
| WPRIM
| ID: wpr-919500
ABSTRACT
In this review of the most recent applications of deep learning to ultrasound imaging, the architectures of deep learning networks are briefly explained for the medical imaging applications of classification, detection, segmentation, and generation. Ultrasonography applications for image processing and diagnosis are then reviewed and summarized, along with some representative imaging studies of the breast, thyroid, heart, kidney, liver, and fetal head. Efforts towards workflow enhancement are also reviewed, with an emphasis on view recognition, scanning guide, image quality assessment, and quantification and measurement. Finally some future prospects are presented regarding image quality enhancement, diagnostic support, and improvements in workflow efficiency, along with remarks on hurdles, benefits, and necessary collaborations.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Diagnostic study
Language:
English
Journal:
Ultrasonography
Year:
2021
Type:
Article
Similar
MEDLINE
...
LILACS
LIS