Monitoring of thermal lesions in ultrasound using fully convolutional neural networks: A preclinical study

X Jia, X Li, T Shen, L Zhou, G Yang, F Wang, X Zhu… - Ultrasonics, 2023 - Elsevier
Accurate monitoring of thermal ablation regions is an important guarantee for successful
ablation treatment, which mainly depends on the subjective judgment of radiologists in …

Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment

M Byra, Z Klimonda, E Kruglenko, B Gambin - Ultrasonics, 2022 - Elsevier
Temperature monitoring in ultrasound (US) imaging is important for various medical
treatments, such as high-intensity focused US (HIFU) therapy or hyperthermia. In this work …

Detection and monitoring of thermal lesions induced by microwave ablation using ultrasound imaging and convolutional neural networks

S Zhang, S Wu, S Shang, X Qin, X Jia… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Microwave ablation (MWA) for cancer treatment is frequently monitored by ultrasound (US) B-
mode imaging in the clinic, which often fails due to the low intrinsic contrast between the …

One-step deep learning approach to ultrasound image formation and image segmentation with a fully convolutional neural network

AA Nair, TD Tran, A Reiter… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Single plane wave imaging is well-suited to high frame rate imaging tasks (eg, ultrasound
based robotic tracking). However, suboptimal image quality is obtained when limited to a …

Detection and monitoring of microwave ablation by ultrasound imaging based on convolutional neural network

M Wang, S Wu, X Jia, S Shang, T Xu… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Microwave ablation (MWA) is widely used in clinical treatment, but conventional ultrasound
B-mode monitoring imaging method cannot provide real-time changes in the ablation area …

Application of Deep Learning for Real-Time Ablation Zone Measurement in Ultrasound Imaging

C Zimmermann, A Michelmann, Y Daniel, MD Enderle… - Cancers, 2024 - mdpi.com
Simple Summary The manual measurement of ablation zones (AZs) in radiofrequency
ablation (RFA) therapy is prone to inaccuracies, highlighting the need for automated …

Sumnet: Fully convolutional model for fast segmentation of anatomical structures in ultrasound volumes

S Nandamuri, D China, P Mitra… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Ultrasound imaging is generally employed for real-time investigation of internal anatomy of
the human body for disease identification. Delineation of the anatomical boundary of organs …

Ultrasound segmentation using U-Net: learning from simulated data and testing on real data

B Behboodi, H Rivaz - … conference of the IEEE engineering in …, 2019 - ieeexplore.ieee.org
Segmentation of ultrasound images is an essential task in both diagnosis and image-guided
interventions given the ease-of-use and low cost of this imaging modality. As manual …

Segmentation of ultrasound images based on scatterer density using U-Net

M Amiri, AKZ Tehrani, H Rivaz - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Quantitative ultrasound can provide an objective estimation of different tissue properties,
which may be used for tissue characterization and detection of abnormal tissue. The …

An Improved Ultrasound Tumor Segmentation Using CNN Activation Map Clustering and Active Contours

R Sivanandan, J Jayakumari - 2020 IEEE 5th International …, 2020 - ieeexplore.ieee.org
Ultrasound (US) imaging has become a primary tool for diagnosis of tumors mainly owing to
its non-ionizing procedure but effective analysis is challenging due to the presence of …