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 …
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations
Abstract Purpose Temporal Enhanced Ultrasound (TeUS) has been proposed as a new
paradigm for tissue characterization based on a sequence of ultrasound radio frequency …
paradigm for tissue characterization based on a sequence of ultrasound radio frequency …
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study
Purpose This paper presents the results of a large study involving fusion prostate biopsies to
demonstrate that temporal ultrasound can be used to accurately classify tissue labels …
demonstrate that temporal ultrasound can be used to accurately classify tissue labels …
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection
Purpose We present a method for prostate cancer (PCa) detection using temporal enhanced
ultrasound (TeUS) data obtained either from radiofrequency (RF) ultrasound signals or B …
ultrasound (TeUS) data obtained either from radiofrequency (RF) ultrasound signals or B …
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies
Prostate cancer (PCa) is the most frequent noncutaneous cancer in men. Early detection of
PCa is essential for clinical decision making, and reducing metastasis and mortality rates …
PCa is essential for clinical decision making, and reducing metastasis and mortality rates …
Towards targeted ultrasound-guided prostate biopsy by incorporating model and label uncertainty in cancer detection
Purpose Systematic prostate biopsy is widely used for cancer diagnosis. The procedure is
blind to underlying prostate tissue micro-structure; hence, it can lead to a high rate of false …
blind to underlying prostate tissue micro-structure; hence, it can lead to a high rate of false …
Investigation of physical phenomena underlying temporal-enhanced ultrasound as a new diagnostic imaging technique: theory and simulations
Temporal-enhanced ultrasound (TeUS) is a novel noninvasive imaging paradigm that
captures information from a temporal sequence of backscattered US radio frequency data …
captures information from a temporal sequence of backscattered US radio frequency data …
Multiple instance learning combined with label invariant synthetic data for guiding systematic prostate biopsy: a feasibility study
Purpose Ultrasound imaging is routinely used in prostate biopsy, which involves obtaining
prostate tissue samples using a systematic, yet, non-targeted approach. This approach is …
prostate tissue samples using a systematic, yet, non-targeted approach. This approach is …
Complex cancer detector: Complex neural networks on non-stationary time series for guiding systematic prostate biopsy
Ultrasound is a common imaging modality used for targeting suspected cancerous tissue in
prostate biopsy. Since ultrasound images have very low specificity and sensitivity for …
prostate biopsy. Since ultrasound images have very low specificity and sensitivity for …
Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer
Purpose: This study aims to investigate correlation of speed of sound (SoS) map with T2-
weighted (T2w) MRI and pathology in an ex vivo human prostate tissue with cancer, as an …
weighted (T2w) MRI and pathology in an ex vivo human prostate tissue with cancer, as an …