Kidney Segmentation in Ultrasound, Magnetic Resonance and Computed Tomography Images: A Systematic Review
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.01.014
Abstract: BACKGROUND AND OBJECTIVE Segmentation is an essential step in computer-aided diagnosis and treatment planning of kidney diseases. In recent years, several researchers proposed multiple techniques to segment the kidney in medical images from distinct imaging… read more here.
Keywords: segmentation; magnetic resonance; kidney segmentation; ultrasound magnetic ... See more keywords
Activity Concentration Estimation in Automated Kidney Segmentation Based on Convolution Neural Network Method for 177LU-SPECT/CT Kidney Dosimetry.
Sign Up to like & getrecommendations! Published in 2021 at "Radiation protection dosimetry"
DOI: 10.1093/rpd/ncab079
Abstract: For 177Lu-DOTATATE treatments, dosimetry based on manual kidney segmentation from computed tomography (CT) is accurate but time consuming and might be affected by misregistration between CT and SPECT images. This study develops a convolution neural… read more here.
Keywords: convolution neural; segmentation; kidney segmentation; spect images ... See more keywords
Transfer learning-based approach for automated kidney segmentation on multiparametric MRI sequences
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.3.036001
Abstract: Abstract. Purpose: Multiparametric magnetic resonance imaging (mp-MRI) is being investigated for kidney cancer because of better soft tissue contrast ability. The necessity of manual labels makes the development of supervised kidney segmentation algorithms challenging for… read more here.
Keywords: transfer learning; mri; t1w; kidney segmentation ... See more keywords
MRFA-Net: Kidney Segmentation Method Based on Multi-Scale Feature Fusion and Residual Full Attention
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DOI: 10.3390/app14062302
Abstract: For the characterization of the kidney segmentation task, this paper proposes a self-supervised kidney segmentation method based on multi-scale feature fusion and residual full attention, named MRFA-Net. In this study, we introduce the multi-scale feature… read more here.
Keywords: segmentation; full attention; multi scale; kidney segmentation ... See more keywords
Level-Set-Based Kidney Segmentation from DCE-MRI Using Fuzzy Clustering with Population-Based and Subject-Specific Shape Statistics
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DOI: 10.3390/bioengineering9110654
Abstract: The segmentation of dynamic contrast-enhanced magnetic resonance images (DCE-MRI) of the kidney is a fundamental step in the early and noninvasive detection of acute renal allograft rejection. In this paper, a new and accurate DCE-MRI… read more here.
Keywords: level set; kidney segmentation; dce mri; shape ... See more keywords
Automatic Kidney Segmentation Method Based on an Enhanced Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13071358
Abstract: When deciding on a kidney tumor’s diagnosis and treatment, it is critical to take its morphometry into account. It is challenging to undertake a quantitative analysis of the association between kidney tumor morphology and clinical… read more here.
Keywords: adversarial network; kidney; generative adversarial; segmentation ... See more keywords