Automated segmentation of tissues using CT and MRI: a systematic review

L Lenchik, L Heacock, AA Weaver, RD Boutin… - Academic radiology, 2019 - Elsevier
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

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

I Alnazer, P Bourdon, T Urruty, O Falou, M Khalil… - Medical Image …, 2021 - Elsevier
Assessment of renal function and structure accurately remains essential in the diagnosis
and prognosis of Chronic Kidney Disease (CKD). Advanced imaging, including Magnetic …

Cascaded regression neural nets for kidney localization and segmentation-free volume estimation

MA Hussain, G Hamarneh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Kidney volume is an essential biomarker for a number of kidney disease diagnoses, for
example, chronic kidney disease. Existing total kidney volume estimation methods often rely …

Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT: deep learning algorithm developed using dual-energy …

SK Jeon, I Joo, J Park, JM Kim, SJ Park, SH Yoon - Scientific Reports, 2024 - nature.com
Abstract A novel 3D nnU-Net-based of algorithm was developed for fully-automated multi-
organ segmentation in abdominal CT, applicable to both non-contrast and post-contrast …

[KNYGA][B] Big data in multimodal medical imaging

A El-Baz, JS Suri - 2019 - books.google.com
There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …

Comprehensive 3D analysis of the renal system and stones: Segmenting and registering non-contrast and contrast computed tomography images

Z Chen, C **ao, Y Liu, H Hassan, D Li, J Liu… - Information Systems …, 2024 - Springer
Detecting and accurately locating kidney stones, which are common urological conditions,
can be challenging when using imaging examinations. Therefore, the primary objective of …

[HTML][HTML] PSMA-PET improves deep learning-based automated CT kidney segmentation

J Leube, M Horn, PE Hartrampf, AK Buck… - … Für Medizinische Physik, 2024 - Elsevier
For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume of
relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the …

Detection of cerebrovascular changes using magnetic resonance angiography

Y Gebru, G Giridharan, M Ghazal… - … imaging and image …, 2018 - taylorfrancis.com
Blood pressure (BP) changes with age are widespread, and systemic high blood pressure
(HBP) is a significant contributor for strokes and cognitive impairment. A non-invasive …

Vascular tree segmentation from different image modalities

A Mahmoud, A Shalaby, F Taher, M El-Baz… - … imaging and image …, 2018 - taylorfrancis.com
A new 3D segmentation method based on the level set technique is proposed. The main
contribution is a robust evolutionary model that requires no fine tuning of parameters. A …

Deep convolutional neural networks for classifying body constitution based on face image

EY Huan, GH Wen, SJ Zhang, DY Li… - … Methods in Medicine, 2017 - Wiley Online Library
Body constitution classification is the basis and core content of traditional Chinese medicine
constitution research. It is to extract the relevant laws from the complex constitution …