Results 21 to 30 of about 2,531,605 (137)
Kidney and Kidney Tumour Segmentation in CT Images [PDF]
arXiv, 2022 Automatic segmentation of kidney and kidney tumour in Computed Tomography (CT) images is essential, as it uses less time as compared to the current gold standard of manual segmentation. However, many hospitals are still reliant on manual study and segmentation of CT images by medical practitioners because of its higher accuracy.
arxiv
Active Osmotic Exchanger for Efficient Nanofiltration Inspired by the Kidney [PDF]
Phys. Rev. X 6, 031008, Published 18 July 2016, 2016 In this paper, we investigate the physical mechanisms underlying one of the most efficient filtration devices: the kidney. Building on a minimal model of the Henle loop - the central part of the kidney filtration - we investigate theoretically the detailed out-of-equilibrium fluxes in this separation process in order to obtain absolute theoretical ...
arxiv +1 more source
Artificial intelligence and kidney transplantation
World Journal of Transplantation, 2021 Artificial intelligence and its primary subfield, machine learning, have started to gain widespread use in medicine, including the field of kidney transplantation. We made a review of the literature that used artificial intelligence techniques in kidney transplantation.
Seyahi, N., Ozcan, S.G.
openaire +2 more sources
Optimal Kidney Exchange with Immunosuppressants [PDF]
arXiv, 2021 Algorithms for exchange of kidneys is one of the key successful applications in market design, artificial intelligence, and operations research. Potent immunosuppressant drugs suppress the body's ability to reject a transplanted organ up to the point that a transplant across blood- or tissue-type incompatibility becomes possible.
arxiv
Comparing feature fusion strategies for Deep Learning-based kidney stone identification [PDF]
arXiv, 2022 This contribution presents a deep-learning method for extracting and fusing image information acquired from different viewpoints with the aim to produce more discriminant object features. Our approach was specifically designed to mimic the morpho-constitutional analysis used by urologists to visually classify kidney stones by inspecting the sections ...
arxiv
Artificial Organs, 2019 BACKGROUND Ex vivo normothermic perfusion (EVNP) technology is a promising means of organ preservation, assessment, and pre-conditioning prior to kidney transplantation, which has been pioneered by a single group. We describe the challenges of setting up
P. Chandak +12 more
semanticscholar +1 more source
Penalties and Rewards for Fair Learning in Paired Kidney Exchange Programs [PDF]
arXiv, 2023 A kidney exchange program, also called a kidney paired donation program, can be viewed as a repeated, dynamic trading and allocation mechanism. This suggests that a dynamic algorithm for transplant exchange selection may have superior performance in comparison to the repeated use of a static algorithm.
arxiv
Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models [PDF]
International Journal of Industrial Engineering Computations,
16(2). Growing Science (2024)This paper presents a comprehensive review of the last two decades of research on Kidney Exchange Programs (KEPs), systematically categorizing and classifying key contributions to provide readers with a structured understanding of advancements in the field.
arxiv +1 more source
Scientific Reports, 2020 Artificial blood for clinical use is not yet available therefore, we previously developed artificial oxygen carriers (capsules) and showed their functionality in vitro and biocompatibility in vivo. Herein, we assessed the functionality of the capsules in
A. Wrobeln +6 more
semanticscholar +1 more source
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies [PDF]
arXiv, 2022 This contribution presents a deep learning method for the extraction and fusion of information relating to kidney stone fragments acquired from different viewpoints of the endoscope. Surface and section fragment images are jointly used during the training of the classifier to improve the discrimination power of the features by adding attention layers ...
arxiv