Artificial intelligence in breast ultrasonography
Ultrasonography
;
: 183-190, 2021.
Article
in English
| WPRIM
| ID: wpr-919484
ABSTRACT
Although breast ultrasonography is the mainstay modality for differentiating between benign and malignant breast masses, it has intrinsic problems with false positives and substantial interobserver variability. Artificial intelligence (AI), particularly with deep learning models, is expected to improve workflow efficiency and serve as a second opinion. AI is highly useful for performing three main clinical tasks in breast ultrasonography detection (localization/ segmentation), differential diagnosis (classification), and prognostication (prediction). This article provides a current overview of AI applications in breast ultrasonography, with a discussion of methodological considerations in the development of AI models and an up-to-date literature review of potential clinical applications.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Prognostic study
Language:
English
Journal:
Ultrasonography
Year:
2021
Type:
Article
Similar
MEDLINE
...
LILACS
LIS