[HTML][HTML] Human tendon adaptation in response to mechanical loading: a systematic review and meta-analysis of exercise intervention studies on healthy adults

S Bohm, F Mersmann, A Arampatzis - Sports medicine-open, 2015 - Springer
Background The present article systematically reviews recent literature on the in vivo
adaptation of asymptomatic human tendons following increased chronic mechanical …

Machine learning for medical ultrasound: status, methods, and future opportunities

LJ Brattain, BA Telfer, M Dhyani, JR Grajo… - Abdominal radiology, 2018 - Springer
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 …

Ultrasound image segmentation: a deeply supervised network with attention to boundaries

D Mishra, S Chaudhury, M Sarkar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Objective: Segmentation of anatomical structures in ultrasound images requires vast
radiological knowledge and experience. Moreover, the manual segmentation often results in …

Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains

M Xian, Y Zhang, HD Cheng - Pattern Recognition, 2015 - Elsevier
Due to the complicated structure of breast and poor quality of ultrasound images, accurately
and automatically locating regions of interest (ROIs) and segmenting tumors are challenging …

Ultrasound confidence maps using random walks

A Karamalis, W Wein, T Klein, N Navab - Medical image analysis, 2012 - Elsevier
Advances in ultrasound system development have led to a substantial improvement of
image quality and to an increased use of ultrasound in clinical practice. Nevertheless …

Application of wavelet techniques for cancer diagnosis using ultrasound images: a review

VK Sudarshan, MRK Mookiah, UR Acharya… - Computers in biology …, 2016 - Elsevier
Ultrasound is an important and low cost imaging modality used to study the internal organs
of human body and blood flow through blood vessels. It uses high frequency sound waves to …

[HTML][HTML] Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos

H Sharma, L Drukker, P Chatelain, R Droste… - Medical Image …, 2021 - Elsevier
Ultrasound is a widely used imaging modality, yet it is well-known that scanning can be
highly operator-dependent and difficult to perform, which limits its wider use in clinical …

Ultrasound guidance in minimally invasive robotic procedures

M Antico, F Sasazawa, L Wu, A Jaiprakash… - Medical image …, 2019 - Elsevier
In the past decade, medical robotics has gained significant traction within the surgical field.
While the introduction of fully autonomous robotic systems for surgical procedures still …

Automated measurement network for accurate segmentation and parameter modification in fetal head ultrasound images

P Li, H Zhao, P Liu, F Cao - Medical & Biological Engineering & Computing, 2020 - Springer
Measurement of anatomical structures from ultrasound images requires the expertise of
experienced clinicians. Moreover, there are artificial factors that make an automatic …

[HTML][HTML] Ensemble transfer learning for fetal head analysis: from segmentation to gestational age and weight prediction

M Alzubaidi, M Agus, U Shah, M Makhlouf, K Alyafei… - Diagnostics, 2022 - mdpi.com
Ultrasound is one of the most commonly used imaging methodologies in obstetrics to
monitor the growth of a fetus during the gestation period. Specifically, ultrasound images are …