Automatic standard plane and diagnostic usability classification in obstetric ultrasounds
Objective: This study introduces an innovative end-to-end deep learning pipeline designed to automatically classify and order fetal ultrasound standard planes in alignment with the guidelines of the Canadian Association of Radiologists, while also assessing the diagnostic usability of each view. The...
Saved in:
| Main Authors: | Adam Lim, Mohamed Abdalla, Farbod Abolhassani, Wyanne Law, Benjamin Fine, Dafna Sussman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | WFUMB Ultrasound Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949668324000181 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Current status of ultrasound training in obstetrics and gynecology: a scoping literature review
by: Julia Matschl, et al.
Published: (2024-11-01) -
A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries
by: Amy Sarah Ginsburg, et al.
Published: (2025-01-01) -
Medical student training with next-generation handheld ultrasound devices – hands on examination of fetal biometry in obstetrics
by: Ruben Plöger, et al.
Published: (2025-01-01) -
Williams Obstetrics /
by: Cunningham, F. Gary
Published: (2005) -
Williams Obstetrics /
by: Cunningham, F. Gary
Published: (2014)