Blar i St. Olavs hospital på tidsskrift "Proceedings - IEEE Ultrasonics Symposium"
Viser treff 1-4 av 4
-
Real-time segmentation of blood vessels, nerves and bone in ultrasound-guided regional anesthesia using deep learning
(Peer reviewed; Journal article, 2021)Images from ultrasound-guided regional anesthesia procedures can be difficult to interpret, especially by non-experts. In this work, deep convolutional neural networks were used to segment blood vessels, nerves and bone ... -
Real-time temporal coherent left ventricle segmentation using convolutional LSTMs
(Peer reviewed; Journal article, 2021) -
Segmentation of parasternal long axis views using deep learning
(Journal article; Peer reviewed, 2022) -
Tracking-based mitral annular plane systolic excursion (MAPSE) measurement using deep learning in B-mode ultrasound
(Peer reviewed; Journal article, 2022)Mitral annular plane systolic excursion (MAPSE) is an important measure of left ventricular function. Current clinical practice is to measure it manually using M-mode ultrasound imaging which has several disadvantages such ...