[PDF][PDF] A Robust 3-D Medical Watermarking Based on Wavelet Transform for Data Protection.
X Zhang, W Zhang, W Sun, X Sun… - … Systems Science & …, 2022 - cdn.techscience.cn
In a telemedicine diagnosis system, the emergence of 3D imaging enables doctors to make
clearer judgments, and its accuracy also directly affects doctors' diagnosis of the disease. In …
clearer judgments, and its accuracy also directly affects doctors' diagnosis of the disease. In …
Progress in fully automated abdominal CT interpretation
RM Summers - American Journal of Roentgenology, 2016 - Am Roentgen Ray Soc
OBJECTIVE. Automated analysis of abdominal CT has advanced markedly over just the last
few years. Fully automated assessment of organs, lymph nodes, adipose tissue, muscle …
few years. Fully automated assessment of organs, lymph nodes, adipose tissue, muscle …
Enhancement of vascular structures in 3D and 2D angiographic images
T Jerman, F Pernuš, B Likar… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
A number of imaging techniques are being used for diagnosis and treatment of vascular
pathologies like stenoses, aneurysms, embolisms, malformations and remodelings, which …
pathologies like stenoses, aneurysms, embolisms, malformations and remodelings, which …
Multimedia-enhanced radiology reports: concept, components, and challenges
Multimedia-enhanced radiology report (MERR) development is defined and described from
an informatics perspective, in which the MERR is seen as a superior information …
an informatics perspective, in which the MERR is seen as a superior information …
An innovative technique for contrast enhancement of computed tomography images using normalized gamma-corrected contrast-limited adaptive histogram …
Image contrast is an essential visual feature that determines whether an image is of good
quality. In computed tomography (CT), captured images tend to be low contrast, which is a …
quality. In computed tomography (CT), captured images tend to be low contrast, which is a …
Analysis and identification of kidney stone using Kth nearest neighbour (KNN) and support vector machine (SVM) classification techniques
Kidney stone detection is one of the sensitive topic now-a-days. There are various problem
associates with this topic like low resolution of image, similarity of kidney stone and …
associates with this topic like low resolution of image, similarity of kidney stone and …
[HTML][HTML] Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation
Purpose The purpose of this study was to report procedures developed to annotate
abdominal computed tomography (CT) images from subjects without pancreatic disease that …
abdominal computed tomography (CT) images from subjects without pancreatic disease that …
Bowelnet: Joint semantic-geometric ensemble learning for bowel segmentation from both partially and fully labeled ct images
Accurate bowel segmentation is essential for diagnosis and treatment of bowel cancers.
Unfortunately, segmenting the entire bowel in CT images is quite challenging due to unclear …
Unfortunately, segmenting the entire bowel in CT images is quite challenging due to unclear …
Design and analysis performance of kidney stone detection from ultrasound image by level set segmentation and ANN classification
K Viswanath, R Gunasundari - 2014 International Conference …, 2014 - ieeexplore.ieee.org
The abnormalities of the kidney can be identified by ultrasound imaging. The kidney may
have structural abnormalities like kidney swelling, change in its position and appearance …
have structural abnormalities like kidney swelling, change in its position and appearance …
Unsupervised domain adaptation for small bowel segmentation using disentangled representation
We present a novel unsupervised domain adaptation method for small bowel segmentation
based on feature disentanglement. To make the domain adaptation more controllable, we …
based on feature disentanglement. To make the domain adaptation more controllable, we …