Computer aided‐diagnosis of prostate cancer on multiparametric MRI: a technical review of current research
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 …
States. In this paper, we survey computer aided‐diagnosis (CADx) systems that use …
Recent automatic segmentation algorithms of MRI prostate regions: a review
World-wide incidence rate of prostate cancer has progressively increased with time
especially with the increased proportion of elderly population. Early detection of prostate …
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
Purpose Reliable automated segmentation of the prostate is indispensable for image‐
guided prostate interventions. However, the segmentation task is challenging due to …
guided prostate interventions. However, the segmentation task is challenging due to …
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge
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 …
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
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 …
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
Purpose Magnetic resonance imaging (MRI)‐guided radiation therapy (RT) treatment
planning is limited by the fact that the electron density distribution required for dose …
planning is limited by the fact that the electron density distribution required for dose …
Superpixel-based segmentation for 3D prostate MR images
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 …
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 …
Purpose To validate automatic substitute computed tomography CT (sCT) scans generated
from standard T2-weighted (T2w) magnetic resonance (MR) pelvic scans for MR-Sim …
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
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 …
more applied to the diagnosis of prostate disease and various clinical applications …
Hybrid descriptive‐inferential method for key feature selection in prostate cancer radiomics
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 …
the extraction and analysis of quantitative information not visible to the naked eye, even by …