all AI news
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes. (arXiv:2206.14678v1 [eess.IV])
June 30, 2022, 1:12 a.m. | Netanell Avisdris, Leo Joskowicz, Brian Dromey, Anna L. David, Donald M. Peebles, Danail Stoyanov, Dafna Ben Bashat, Sophia Bano
cs.CV updates on arXiv.org arxiv.org
Fetal growth assessment from ultrasound is based on a few biometric
measurements that are performed manually and assessed relative to the expected
gestational age. Reliable biometry estimation depends on the precise detection
of landmarks in standard ultrasound planes. Manual annotation can be
time-consuming and operator dependent task, and may results in high
measurements variability. Existing methods for automatic fetal biometry rely on
initial automatic fetal structure segmentation followed by geometric landmark
detection. However, segmentation annotations are time-consuming and may be …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Engineer
@ Chubb | Simsbury, CT, United States
Research Analyst , NA Light Vehicle Powertrain Forecasting
@ S&P Global | US - MI - VIRTUAL
Sr. Data Scientist - ML Ops Job
@ Yash Technologies | Indore, IN
Alternance-Data Management
@ Keolis | Courbevoie, FR, 92400