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Deep recurrent neural networks for prostate cancer detection: analysis of temporal enhanced ultrasound
Temporal enhanced ultrasound (TeUS), comprising the analysis of variations in
backscattered signals from a tissue over a sequence of ultrasound frames, has been …
backscattered signals from a tissue over a sequence of ultrasound frames, has been …
Ultrasound tissue classification: a review
Ultrasound imaging is the most widespread medical imaging modality for creating images of
the human body in clinical practice. Tissue classification in ultrasound has been established …
the human body in clinical practice. Tissue classification in ultrasound has been established …
ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies
Background and objective To assess whether conventional brightness-mode (B-mode)
transrectal ultrasound images of the prostate reveal clinically significant cancers with the …
transrectal ultrasound images of the prostate reveal clinically significant cancers with the …
Computer-aided prostate cancer detection using ultrasound RF time series: in vivo feasibility study
This paper presents the results of a computer-aided intervention solution to demonstrate the
application of RF time series for characterization of prostate cancer, in vivo. Methods: We pre …
application of RF time series for characterization of prostate cancer, in vivo. Methods: We pre …
Ultrasound-based detection of prostate cancer using automatic feature selection with deep belief networks
We propose an automatic feature selection framework for analyzing temporal ultrasound
signals of prostate tissue. The framework consists of: 1) an unsupervised feature reduction …
signals of prostate tissue. The framework consists of: 1) an unsupervised feature reduction …
Cross‐Layer Connection SegFormer Attention U‐Net for Efficient TRUS Image Segmentation
Y Shi, W Du, C Gao, X Li - International Journal of Imaging …, 2024 - Wiley Online Library
Accurately and rapidly segmenting the prostate in transrectal ultrasound (TRUS) images
remains challenging due to the complex semantic information in ultrasound images. The …
remains challenging due to the complex semantic information in ultrasound images. The …
Augmenting MRI–transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study
Purpose In recent years, fusion of multi-parametric MRI (mp-MRI) with transrectal ultrasound
(TRUS)-guided biopsy has enabled targeted prostate biopsy with improved cancer yield …
(TRUS)-guided biopsy has enabled targeted prostate biopsy with improved cancer yield …
Classification of prostate cancer grades and t-stages based on tissue elasticity using medical image analysis
In this paper, we study the correlation of tissue (ie prostate) elasticity with the spread and
aggression of prostate cancers. We describe an improved, in-vivo method that estimates the …
aggression of prostate cancers. We describe an improved, in-vivo method that estimates the …
A machine learning framework for temporal enhanced ultrasound guided prostate cancer diagnostics
S Azizi - 2018 - open.library.ubc.ca
The ultimate diagnosis of prostate cancer involves histopathology analysis of tissue samples
obtained through prostate biopsy, guided by either transrectal ultrasound (TRUS), or fusion …
obtained through prostate biopsy, guided by either transrectal ultrasound (TRUS), or fusion …
Non-rigid body mechanical property recovery from images and videos
S Yang - 2018 - search.proquest.com
Material property has great importance in surgical simulation and virtual reality. The
mechanical properties of the human soft tissue are critical to characterize the tissue …
mechanical properties of the human soft tissue are critical to characterize the tissue …