Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images
due to the kidneys' varied shapes and image intensity distributions, although semi-automatic …
due to the kidneys' varied shapes and image intensity distributions, although semi-automatic …
SDFNet: Automatic segmentation of kidney ultrasound images using multi-scale low-level structural feature
Due to speckle noise, changes in kidney shape and size between patients, and similar
regions, segmenting kidneys in ultrasound images is challenging. To alleviate this …
regions, segmenting kidneys in ultrasound images is challenging. To alleviate this …
A novel convolutional neural network for kidney ultrasound images segmentation
Abstract Background and Objective: Ultrasound imaging has been widely used in the
screening of kidney diseases. The localization and segmentation of the kidneys in …
screening of kidney diseases. The localization and segmentation of the kidneys in …
MBANet: Multi-branch aware network for kidney ultrasound images segmentation
Due to the influence of kidney morphology, heterogeneous structure and image quality,
segmenting kidney in ultrasound images is challenging. To alleviate this challenge, we …
segmenting kidney in ultrasound images is challenging. To alleviate this challenge, we …
Asymmetric U-shaped network with hybrid attention mechanism for kidney ultrasound images segmentation
Kidney ultrasound (KUS) images segmentation is one of the key steps in computer-aided
diagnosis. The perturbation of heterogeneous structure, similar intensity distribution, and …
diagnosis. The perturbation of heterogeneous structure, similar intensity distribution, and …
CT2US: Cross-modal transfer learning for kidney segmentation in ultrasound images with synthesized data
Accurate segmentation of kidney in ultrasound images is a vital procedure in clinical
diagnosis and interventional operation. In recent years, deep learning technology has …
diagnosis and interventional operation. In recent years, deep learning technology has …
Segmentation of kidney from ultrasound images based on texture and shape priors
J Xie, Y Jiang, H Tsui - IEEE transactions on medical imaging, 2005 - ieeexplore.ieee.org
This work presents a novel texture and shape priors based method for kidney segmentation
in ultrasound (US) images. Texture features are extracted by applying a bank of Gabor filters …
in ultrasound (US) images. Texture features are extracted by applying a bank of Gabor filters …
Kidney segmentation in ultrasound, magnetic resonance and computed tomography images: A systematic review
Background and objective Segmentation is an essential step in computer-aided diagnosis
and treatment planning of kidney diseases. In recent years, several researchers proposed …
and treatment planning of kidney diseases. In recent years, several researchers proposed …
DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation
G Chen, Y Liu, J Qian, J Zhang, X Yin, L Cui… - Expert Systems with …, 2023 - Elsevier
The automatic and accurate medical ultrasound image segmentation has been a
challenging task due to the coupled interference of various internal and external factors. In …
challenging task due to the coupled interference of various internal and external factors. In …
[HTML][HTML] A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images
This paper proposes an encoder-decoder architecture for kidney segmentation. A
hyperparameter optimization process is implemented, including the development of a model …
hyperparameter optimization process is implemented, including the development of a model …