Computer aided‐diagnosis of prostate cancer on multiparametric MRI: a technical review of current research

S Wang, K Burtt, B Turkbey, P Choyke… - BioMed research …, 2014 - Wiley Online Library
Prostate cancer (PCa) is the most commonly diagnosed cancer among men in the United
States. In this paper, we survey computer aided‐diagnosis (CADx) systems that use …

Recent automatic segmentation algorithms of MRI prostate regions: a review

Z Khan, N Yahya, K Alsaih, MI Al-Hiyali… - IEEE …, 2021 - ieeexplore.ieee.org
World-wide incidence rate of prostate cancer has progressively increased with time
especially with the increased proportion of elderly population. Early detection of prostate …

Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation

B Wang, Y Lei, S Tian, T Wang, Y Liu, P Patel… - Medical …, 2019 - Wiley Online Library
Purpose Reliable automated segmentation of the prostate is indispensable for image‐
guided prostate interventions. However, the segmentation task is challenging due to …

Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge

G Litjens, R Toth, W Van De Ven, C Hoeks… - Medical image …, 2014 - Elsevier
Prostate MRI image segmentation has been an area of intense research due to the
increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation …

Deformable MR prostate segmentation via deep feature learning and sparse patch matching

Y Guo, Y Gao, D Shen - IEEE transactions on medical imaging, 2015 - ieeexplore.ieee.org
Automatic and reliable segmentation of the prostate is an important but difficult task for
various clinical applications such as prostate cancer radiotherapy. The main challenges for …

Comparative study of algorithms for synthetic CT generation from MRI: consequences for MRI‐guided radiation planning in the pelvic region

H Arabi, JA Dowling, N Burgos, X Han… - Medical …, 2018 - Wiley Online Library
Purpose Magnetic resonance imaging (MRI)‐guided radiation therapy (RT) treatment
planning is limited by the fact that the electron density distribution required for dose …

Superpixel-based segmentation for 3D prostate MR images

Z Tian, L Liu, Z Zhang, B Fei - IEEE transactions on medical …, 2015 - ieeexplore.ieee.org
This paper proposes a method for segmenting the prostate on magnetic resonance (MR)
images. A superpixel-based 3D graph cut algorithm is proposed to obtain the prostate …

Automatic substitute computed tomography generation and contouring for magnetic resonance imaging (MRI)-alone external beam radiation therapy from standard …

JA Dowling, J Sun, P Pichler, D Rivest-Hénault… - International Journal of …, 2015 - Elsevier
Purpose To validate automatic substitute computed tomography CT (sCT) scans generated
from standard T2-weighted (T2w) magnetic resonance (MR) pelvic scans for MR-Sim …

Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging

H Jia, Y Xia, Y Song, W Cai, M Fulham, DD Feng - Neurocomputing, 2018 - Elsevier
Automatic segmentation of prostate in magnetic resonance (MR) images has been more and
more applied to the diagnosis of prostate disease and various clinical applications …

Hybrid descriptive‐inferential method for key feature selection in prostate cancer radiomics

S Barone, R Cannella, A Comelli… - … Stochastic Models in …, 2021 - Wiley Online Library
Abstract In healthcare industry 4.0, a big role is played by radiomics. Radiomics concerns
the extraction and analysis of quantitative information not visible to the naked eye, even by …