Robotic arm based automatic ultrasound scanning for three-dimensional imaging
This paper presents a human skin inspired automatic robotic ultrasound (US) system for
three-dimensional (3-D) imaging. A depth camera was adopted to capture the point cloud of …
three-dimensional (3-D) imaging. A depth camera was adopted to capture the point cloud of …
[HTML][HTML] Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images
Kidney stone disease is a serious public health concern that is getting worse with changes
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
Fully automatic three-dimensional ultrasound imaging based on conventional B-scan
Robotic ultrasound systems have turned into clinical use over the past few decades,
increasing precision and quality of medical operations. In this paper, we propose a fully …
increasing precision and quality of medical operations. In this paper, we propose a fully …
Bezier interpolation for 3-D freehand ultrasound
Freehand 3-D ultrasound (US) produces 3-D volume data of anatomical objects from a
sequence of irregularly located 2-D B-mode US images (B-scans). In 3-D US, the voxel …
sequence of irregularly located 2-D B-mode US images (B-scans). In 3-D US, the voxel …
A Systematic Kidney Tumor Segmentation and Classification Framework using Adaptive and Attentive-based Deep Learning Networks with Improved Crayfish …
Kidney illness constitutes a category of many serious persistent diseases that can affect an
individual. Early diagnosis of this condition is critical for effective therapy. Kidney tumors are …
individual. Early diagnosis of this condition is critical for effective therapy. Kidney tumors are …
Diagnosis of renal calculus disease in medical ultrasound images
PT Akkasaligar, S Biradar - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Ultrasound imaging is used as the primary imaging modality for diagnosis of renal calculus.
Speckle noise and shadows present in ultrasound images makes the identification of kidney …
Speckle noise and shadows present in ultrasound images makes the identification of kidney …
A real-time image dehazing method considering dark channel and statistics features
In recent years, image dehazing algorithms are promoted, but they have not been used in
real-time processing. This paper proposed a combined algorithm based on both dark …
real-time processing. This paper proposed a combined algorithm based on both dark …
An approach for analysis and prediction of CKD using deep learning architecture
N Bhaskar, M Suchetha - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
This paper proposes an efficient and novel approach for non-invasive diagnosis of Chronic
Kidney Disease (CKD). A novel sensing module for CKD diagnosis is designed and …
Kidney Disease (CKD). A novel sensing module for CKD diagnosis is designed and …
Morphological segmentation of the kidneys from abdominal ct images
A Belgherbi, I Hadjidj, A Bessaid - Journal of Mechanics in Medicine …, 2014 - World Scientific
The phase of segmentation is an important step in the processing and interpretation of
medical images. In this paper, we focus on the segmentation of kidneys from the abdomen …
medical images. In this paper, we focus on the segmentation of kidneys from the abdomen …
Automatic building identification and features extraction from aerial images: Application on the historic 1866 square of Chania Greece
During the last decade significant efforts have been made to monitor cities and record their
current situation and growth through time. Advances in aerial photography and the …
current situation and growth through time. Advances in aerial photography and the …