Recent advances in medical image processing for the evaluation of chronic kidney disease

•We propose a survey covering qualitative and quantitative analysis applied on novel medical imaging techniques to evaluate renal function.•First, we summarize the use of different imaging modalities (MRI, UE, CT, PET and SPECT) in CKD diagnosis.•We show the power of AI to guide renal dysfunction di...

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Bibliographic Details
Published in:	Medical image analysis Vol. 69; p. 101960
Main Authors:	Alnazer, Israa, Bourdon, Pascal, Urruty, Thierry, Falou, Omar, Khalil, Mohamad, Shahin, Ahmad, Fernandez-Maloigne, Christine
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.04.2021 Elsevier BV Elsevier
Subjects:	Artificial intelligence Automatic renal segmentation Chronic kidney disease Computed tomography Computer Science Deep learning Diagnosis Evaluation Heterogeneity Image processing Image segmentation Imaging techniques Kidney diseases Kidneys Learning algorithms Machine learning Magnetic resonance imaging Medical imaging Positron emission Predictions Qualitative analysis Renal function Scintigraphy Signal and Image Processing Single photon emission computed tomography Structure-function relationships Textural analysis Texture Tomography Deep learning Chronic kidney disease Textural analysis Automatic renal segmentation
ISSN:	1361-8415, 1361-8423, 1361-8423
Online Access:	Get full text
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