Survey on deep learning for radiotherapy
More than 50% of cancer patients are treated with radiotherapy, either exclusively or in
combination with other methods. The planning and delivery of radiotherapy treatment is a …
combination with other methods. The planning and delivery of radiotherapy treatment is a …
An improved emperor penguin optimization based multilevel thresholding for color image segmentation
Z Xing - Knowledge-Based Systems, 2020 - Elsevier
This paper proposes a multi-threshold image segmentation method based on improved
emperor penguin optimization (EPO). The calculation complexity of multi-thresholds …
emperor penguin optimization (EPO). The calculation complexity of multi-thresholds …
Quantum marine predators algorithm for addressing multilevel image segmentation
This paper proposes a modified marine predators algorithm based on quantum theory to
handle the multilevel image segmentation problem. The main aims of using quantum theory …
handle the multilevel image segmentation problem. The main aims of using quantum theory …
3D bounding box detection in volumetric medical image data: A systematic literature review
D Kern, A Mastmeyer - 2021 IEEE 8th International Conference …, 2021 - ieeexplore.ieee.org
This paper discusses current methods and trends for 3D bounding box detection in
volumetric medical image data. For this purpose, an overview of relevant papers from recent …
volumetric medical image data. For this purpose, an overview of relevant papers from recent …
Automatic needle segmentation and localization in MRI with 3-D convolutional neural networks: application to MRI-targeted prostate biopsy
Image guidance improves tissue sampling during biopsy by allowing the physician to
visualize the tip and trajectory of the biopsy needle relative to the target in MRI, CT …
visualize the tip and trajectory of the biopsy needle relative to the target in MRI, CT …
Automatic multi‐catheter detection using deeply supervised convolutional neural network in MRI‐guided HDR prostate brachytherapy
Purpose High‐dose‐rate (HDR) brachytherapy is an established technique to be used as
monotherapy option or focal boost in conjunction with external beam radiation therapy …
monotherapy option or focal boost in conjunction with external beam radiation therapy …
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images
N Zettler, A Mastmeyer - arXiv preprint arXiv:2107.04062, 2021 - arxiv.org
A two-step concept for 3D segmentation on 5 abdominal organs inside volumetric CT
images is presented. First each relevant organ's volume of interest is extracted as bounding …
images is presented. First each relevant organ's volume of interest is extracted as bounding …
Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy
P Zaffino, G Pernelle, A Mastmeyer… - Physics in Medicine …, 2019 - iopscience.iop.org
External-beam radiotherapy followed by high dose rate (HDR) brachytherapy is the standard-
of-care for treating gynecologic cancers. The enhanced soft-tissue contrast provided by …
of-care for treating gynecologic cancers. The enhanced soft-tissue contrast provided by …
M-Net: A novel U-Net with multi-stream feature fusion and multi-scale dilated convolutions for bile ducts and hepatolith segmentation
X Fu, N Cai, K Huang, H Wang, P Wang, C Liu… - IEEE …, 2019 - ieeexplore.ieee.org
Automatically segmenting bile ducts and hepatolith in abdominal CT scans is helpful to
assist hepatobiliary surgeons for minimally invasive surgery. High-deformation …
assist hepatobiliary surgeons for minimally invasive surgery. High-deformation …
Fully automated segmentation of prostatic urethra for MR‐guided radiation therapy
Purpose Accurate delineation of the urethra is a prerequisite for urethral dose reduction in
prostate radiotherapy. However, even in magnetic resonance‐guided radiation therapy …
prostate radiotherapy. However, even in magnetic resonance‐guided radiation therapy …