Advances in auto-segmentation
Manual image segmentation is a time-consuming task routinely performed in radiotherapy to
identify each patient's targets and anatomical structures. The efficacy and safety of the …
identify each patient's targets and anatomical structures. The efficacy and safety of the …
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 …
elastix: A Toolbox for Intensity-Based Medical Image Registration
Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …
Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132
Image registration and fusion algorithms exist in almost every software system that creates
or uses images in radiotherapy. Most treatment planning systems support some form of …
or uses images in radiotherapy. Most treatment planning systems support some form of …
Deep learning-based image segmentation on multimodal medical imaging
Multimodality medical imaging techniques have been increasingly applied in clinical
practice and research studies. Corresponding multimodal image analysis and ensemble …
practice and research studies. Corresponding multimodal image analysis and ensemble …
MS-Net: multi-site network for improving prostate segmentation with heterogeneous MRI data
Automated prostate segmentation in MRI is highly demanded for computer-assisted
diagnosis. Recently, a variety of deep learning methods have achieved remarkable progress …
diagnosis. Recently, a variety of deep learning methods have achieved remarkable progress …
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 …
Validation and modification of a prediction model for acute cardiac events in patients with breast cancer treated with radiotherapy based on three-dimensional dose …
VAB van den Bogaard, BDP Ta… - Journal of Clinical …, 2017 - ascopubs.org
Purpose A relationship between mean heart dose (MHD) and acute coronary event (ACE)
rate was reported in a study of patients with breast cancer (BC). The main objective of our …
rate was reported in a study of patients with breast cancer (BC). The main objective of our …
Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy
Quantitative research in neuroimaging often relies on anatomical segmentation of human
brain MR images. Recent multi-atlas based approaches provide highly accurate structural …
brain MR images. Recent multi-atlas based approaches provide highly accurate structural …
Volumetric ConvNets with mixed residual connections for automated prostate segmentation from 3D MR images
Automated prostate segmentation from 3D MR images is very challenging due to large
variations of prostate shape and indistinct prostate boundaries. We propose a novel …
variations of prostate shape and indistinct prostate boundaries. We propose a novel …