Medical instrument detection in ultrasound: a review

H Yang, C Shan, AF Kolen, PHN de With - Artificial Intelligence Review, 2023 - Springer
Medical instrument detection is essential for computer-assisted interventions, since it
facilitates clinicians to find instruments efficiently with a better interpretation, thereby …

Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy

Y Zhang, Z Tian, Y Lei, T Wang, P Patel… - Physics in Medicine …, 2020 - iopscience.iop.org
Multi-needle localization in ultrasound (US) images is a crucial step of treatment planning for
US-guided prostate brachytherapy. However, current computer-aided technologies are …

Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound

GY Li, L Chen, M Zahiri, N Balaraju… - Proceedings of the …, 2023 - openaccess.thecvf.com
For many challenging medical imaging tasks involving sequences, video-level labels alone
are insufficient to train accurate disease classification models and do not carry information …

A Review of Image Processing Methods in Prostate Ultrasound

H Wang, H Wu, Z Wang, P Yue, D Ni, PA Heng… - arXiv preprint arXiv …, 2024 - arxiv.org
Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being
crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) …

Medical instrument detection in ultrasound-guided interventions: A review

H Yang, C Shan, AF Kolen, PHN de With - arXiv preprint arXiv:2007.04807, 2020 - arxiv.org
Medical instrument detection is essential for computer-assisted interventions since it would
facilitate the surgeons to find the instrument efficiently with a better interpretation, which …

Region of interest discovery using discriminative concrete autoencoder for covid-19 lung ct images

Y Zhang, Y Lei, M Lin, W Curran… - Medical Imaging 2021 …, 2021 - spiedigitallibrary.org
The coronavirus pandemic, also known as COVID-19 pandemic, has led to tens of millions
of cases and over half of a million deaths as of August 2020. Chest CT is an important …

Ultrasound multi-needle detection using deep attention U-Net with TV regularizations

Y Zhang, Y Lei, X He, Z Tian, J Jeong… - Medical Imaging …, 2021 - spiedigitallibrary.org
A deep-learning model based on the U-Net architecture was developed to segment multiple
needles in the 3D transrectal ultrasound (TRUS) images. Attention gates were adopted in …

Artificial intelligence in quantitative ultrasound imaging: A review

B Zhou, X Yang, T Liu - arXiv preprint arXiv:2003.11658, 2020 - arxiv.org
Quantitative ultrasound (QUS) imaging is a reliable, fast and inexpensive technique to
extract physically descriptive parameters for assessing pathologies. Despite its safety and …

Multi-needle detection in ultrasound image using max-margin mask R-CNN

Y Zhang, Z Tian, Y Lei, T Wang, P Patel… - Medical Imaging …, 2021 - spiedigitallibrary.org
Digitalizing all the needles in ultrasound (US) images is a crucial step of treatment planning
for US-guided high-dose-rate (HDR) prostate brachytherapy. However, current computer …

A Review on the Applications of Convolutional Neural Networks in Ultrasound-Based Prostate Brachytherapy

J Wang, T Wang, T Liu, X Yang - 3D Ultrasound - taylorfrancis.com
Brachytherapy is an important treatment modality for prostate cancer. Three-dimensional
transrectal ultrasound (3D TRUS) is a common intraoperative imaging tool for prostate …