Machine learning for medical ultrasound: status, methods, and future opportunities
Abstract Ultrasound (US) imaging is the most commonly performed cross-sectional diagnostic imaging modality in the practice of medicine. It is low-cost, non-ionizing, portable, and capable of real-time image acquisition and display. US is a rapidly evolving technology with significant...
Main Authors: | Brattain, Laura J, Telfer, Brian A, Dhyani, Manish, Grajo, Joseph R, Samir, Anthony E |
---|---|
Other Authors: | Lincoln Laboratory |
Format: | Article |
Language: | English |
Published: |
Springer US
2021
|
Online Access: | https://hdl.handle.net/1721.1/131504 |
Similar Items
-
Principles of ultrasound elastography
by: Ozturk, Arinc, et al.
Published: (2021) -
Variation of Shear Wave Elastography With Preload in the Thyroid
by: Ozturk, Arinc, et al.
Published: (2022) -
Variation of Shear Wave Elastography With Preload in the Thyroid
by: Ozturk, Arinc, et al.
Published: (2022) -
AI-Enabled, Ultrasound-Guided Handheld Robotic Device for Femoral Vascular Access
by: Brattain, Laura J., et al.
Published: (2022) -
Machine learning in prostate MRI for prostate cancer: current status and future opportunities
by: Li, Huanye, et al.
Published: (2022)