Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN
Segmentation of the prostate in 3D CT images is a crucial step in treatment planning and
procedure guidance such as brachytherapy and radiotherapy. However, manual …
procedure guidance such as brachytherapy and radiotherapy. However, manual …
Ultrasound prostate segmentation based on 3D V-Net with deep supervision
We propose a method to automatically segment prostate from TRUS image based on multi-
derivate deeply supervised network and multi-directional contour refinement. 3D multi …
derivate deeply supervised network and multi-directional contour refinement. 3D multi …
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN
We propose a method to automatically segment multiple organs at risk (OARs) from routinely-
acquired thorax CT images using generative adversarial network (GAN). Multi-label U-Net …
acquired thorax CT images using generative adversarial network (GAN). Multi-label U-Net …
Lung tumor segmentation in 4D CT images using motion convolutional neural networks
Purpose Manual delineation on all breathing phases of lung cancer 4D CT image datasets
can be challenging, exhaustive, and prone to subjective errors because of both the large …
can be challenging, exhaustive, and prone to subjective errors because of both the large …
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution
Prostate segmentation of MR volumes is a very important task for treatment planning and
image-guided brachytherapy and radiotherapy. Manual delineation of prostate in MR image …
image-guided brachytherapy and radiotherapy. Manual delineation of prostate in MR image …
Application and translation of artificial intelligence to cardiovascular imaging in nuclear medicine and noncontrast CT
Myocardial perfusion imaging with single photon emission computed tomography or
positron emission tomography is commonly used for diagnosis and risk stratification in …
positron emission tomography is commonly used for diagnosis and risk stratification in …
An automatic segmentation method with self-attention mechanism on left ventricle in gated PET/CT myocardial perfusion imaging
Y Zhang, F Wang, H Wu, Y Yang, W Xu, S Wang… - Computer Methods and …, 2023 - Elsevier
Objectives We aimed to propose an automatic segmentation method for left ventricular (LV)
from 16 electrocardiogram (ECG)-gated 13 N-NH 3 PET/CT myocardial perfusion imaging …
from 16 electrocardiogram (ECG)-gated 13 N-NH 3 PET/CT myocardial perfusion imaging …
Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications
PJ Slomka, JB Moody, RJH Miller, JM Renaud… - Journal of Nuclear …, 2021 - Elsevier
Quantitative analysis has been applied extensively to image processing and interpretation in
nuclear cardiology to improve disease diagnosis and risk stratification. This is Part 2 of a two …
nuclear cardiology to improve disease diagnosis and risk stratification. This is Part 2 of a two …
Head and neck multi-organ segmentation on dual-energy CT using dual pyramid convolutional neural networks
Organ delineation is crucial to diagnosis and therapy, while it is also labor-intensive and
observer-dependent. Dual energy CT (DECT) provides additional image contrast than …
observer-dependent. Dual energy CT (DECT) provides additional image contrast than …
[HTML][HTML] Artificial intelligence in radiation oncology treatment planning: a brief overview
KJ Kiser, CD Fuller, VK Reed - Journal of Medical Artificial …, 2019 - jmai.amegroups.org
Among medical specialties, radiation oncology has long been an innovator and early
adopter of therapeutic technologies. This specialty is now situated in prime position to be …
adopter of therapeutic technologies. This specialty is now situated in prime position to be …