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Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Recent advances in medical image processing for the evaluation of chronic kidney disease
Assessment of renal function and structure accurately remains essential in the diagnosis
and prognosis of Chronic Kidney Disease (CKD). Advanced imaging, including Magnetic …
and prognosis of Chronic Kidney Disease (CKD). Advanced imaging, including Magnetic …
Cascaded regression neural nets for kidney localization and segmentation-free volume estimation
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 …
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 …
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 …
organ segmentation in abdominal CT, applicable to both non-contrast and post-contrast …
[KNYGA][B] Big data in multimodal medical imaging
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 …
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 …
can be challenging when using imaging examinations. Therefore, the primary objective of …
[HTML][HTML] PSMA-PET improves deep learning-based automated CT kidney segmentation
For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume of
relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the …
relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the …
Detection of cerebrovascular changes using magnetic resonance angiography
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 …
(HBP) is a significant contributor for strokes and cognitive impairment. A non-invasive …
Vascular tree segmentation from different image modalities
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 …
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
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 …
constitution research. It is to extract the relevant laws from the complex constitution …