Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review
Prostate cancer is the second most diagnosed cancer of men all over the world. In the last
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
Multiparametric MRI and radiomics in prostate cancer: a review
Y Sun, HM Reynolds, B Parameswaran… - Australasian physical & …, 2019 - Springer
Multiparametric MRI (mpMRI) is an imaging modality that combines anatomical MR imaging
with one or more functional MRI sequences. It has become a versatile tool for detecting and …
with one or more functional MRI sequences. It has become a versatile tool for detecting and …
Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net
Purpose Transrectal ultrasound (TRUS) is a versatile and real‐time imaging modality that is
commonly used in image‐guided prostate cancer interventions (eg, biopsy and …
commonly used in image‐guided prostate cancer interventions (eg, biopsy and …
Deep attentive features for prostate segmentation in 3D transrectal ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential
importance for image-guided prostate interventions and treatment planning. However …
importance for image-guided prostate interventions and treatment planning. However …
CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network
Purpose Accurate segmentation of the prostate on computed tomography (CT) for treatment
planning is challenging due to CT's poor soft tissue contrast. Magnetic resonance imaging …
planning is challenging due to CT's poor soft tissue contrast. Magnetic resonance imaging …
National cancer institute imaging data commons: toward transparency, reproducibility, and scalability in imaging artificial intelligence
The remarkable advances of artificial intelligence (AI) technology are revolutionizing
established approaches to the acquisition, interpretation, and analysis of biomedical …
established approaches to the acquisition, interpretation, and analysis of biomedical …
Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images
The goal of this work was to develop a method for accurate and robust automatic
segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images …
segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images …
A review of artificial intelligence in prostate cancer detection on imaging
I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …
Deep learning-based methods for prostate segmentation in magnetic resonance imaging
Featured Application The study demonstrates that high-speed deep learning networks could
perform accurate prostate delineation facilitating the adoption of novel imaging parameters …
perform accurate prostate delineation facilitating the adoption of novel imaging parameters …
Automated localization and segmentation techniques for B-mode ultrasound images: A review
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …