AI Medical Compendium Topic:
Ultrasonography

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An Automatic Biopsy Needle Detection and Segmentation on Ultrasound Images Using a Convolutional Neural Network.

Ultrasonic imaging
Needle visualization in the ultrasound image is essential to successfully perform the ultrasound-guided core needle biopsy. Automatic needle detection can significantly reduce the procedure time, false-negative rate, and highly improve the diagnosis....

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound.

Medical image analysis
Segmentation of ovary and follicles from 3D ultrasound (US) is the crucial technique of measurement tools for female infertility diagnosis. Since manual segmentation is time-consuming and operator-dependent, an accurate and fast segmentation method i...

Tip estimation approach for concentric tube robots using 2D ultrasound images and kinematic model.

Medical & biological engineering & computing
Concentric tube robot (CTR) is an efficient approach for minimally invasive surgery (MIS) and diagnosis due to its small size and high dexterity. To manipulate the robot accurately and safely inside the human body, tip position and shape information ...

Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging.

Computers in biology and medicine
INTRODUCTION: Pupillometry, the measurement of eye pupil diameter, is a well-established and objective modality correlated with cognitive workload. In this paper, we analyse the pupillary response of ultrasound imaging operators to assess their cogni...

Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images.

International journal of cardiology
AIMS: The aim of this study is to develop and validate a deep learning (DL) methodology capable of automated and accurate segmentation of intravascular ultrasound (IVUS) image sequences in real-time.

Deep Learning Pitfall: Impact of Novel Ultrasound Equipment Introduction on Algorithm Performance and the Realities of Domain Adaptation.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: To test deep learning (DL) algorithm performance repercussions by introducing novel ultrasound equipment into a clinical setting.

Deep learning for noninvasive liver fibrosis classification: A systematic review.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND AND AIMS: While biopsy is the gold standard for liver fibrosis staging, it poses significant risks. Noninvasive assessment of liver fibrosis is a growing field. Recently, deep learning (DL) technology has revolutionized medical image analy...

Preliminary examination of the potential of robot-assisted sonography - An ergonomic tool for obstetric sonographers.

Applied ergonomics
The aim of this study was to explore the ergonomic challenges, the needs and reservations related to robot-assisted ultrasound for obstetric sonographers and thereby to provide information for the design of robotic solutions. A mixed-method design wa...