Cerebral small vessel disease
J Litak, M Mazurek, B Kulesza, P Szmygin… - International journal of …, 2020 - mdpi.com
Cerebral small vessel disease (CSVD) represents a cluster of various vascular disorders
with different pathological backgrounds. The advanced vasculature net of cerebral vessels …
with different pathological backgrounds. The advanced vasculature net of cerebral vessels …
Cerebral small vessel disease and Alzheimer's disease
Z Cai, C Wang, W He, H Tu, Z Tang… - … interventions in aging, 2015 - Taylor & Francis
Cerebral small vessel disease (CSVD) is a group of pathological processes with multifarious
etiology and pathogenesis that are involved into the small arteries, arterioles, venules, and …
etiology and pathogenesis that are involved into the small arteries, arterioles, venules, and …
Analysis of tuberculosis in chest radiographs for computerized diagnosis using bag of keypoint features
S Govindarajan, R Swaminathan - Journal of medical systems, 2019 - Springer
Chest radiography is the most preferred non-invasive imaging technique for early diagnosis
of Tuberculosis (TB). However, lack of radiological expertise in TB detection leads to …
of Tuberculosis (TB). However, lack of radiological expertise in TB detection leads to …
Assessment of structural variations in fornix of MCI and AD using MR images and geometrical features
Purpose Mild cognitive impairment (MCI) and Alzheimer's disease (AD) are known to cause
geometrical changes in the integrity of the fornix, which plays a crucial role in memory …
geometrical changes in the integrity of the fornix, which plays a crucial role in memory …
Evaluation of weighted nuclear norm minimization algorithm for ultrasound image denoising
S Mahaboob Basha, AVL Neto… - Wireless …, 2022 - Wiley Online Library
Anatomical structures manifested in ultrasound (US) images are crucial in efficient disease
diagnosis. This modality has been used to analyze different tissue properties, such as blood …
diagnosis. This modality has been used to analyze different tissue properties, such as blood …
[HTML][HTML] A method framework of automatic localization and quantitative segmentation for the cavum septum pellucidum complex and the cerebellar vermis in fetal brain …
Q Wang, J Pei, J Ouyang, Y Chen, J Pu… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Early detection of central nervous system (CNS) anomalies in human embryos
through prenatal screening is crucial for timely intervention and improved patient outcomes …
through prenatal screening is crucial for timely intervention and improved patient outcomes …
Association between frailty index based on routine laboratory tests and risk of cerebral small vessel disease in elderly patients: a hospital-based observational study
M Dou, Y Cen, J Zhong, G Chen, Q Wei, Y Zeng… - Aging Clinical and …, 2022 - Springer
Background The association between frailty and cerebral small vessel disease (CSVD)
remains controversial due to the use of different methods to assess frailty, including physical …
remains controversial due to the use of different methods to assess frailty, including physical …
Analysis of brainstem in Alzheimer MR images using Lattice Boltzmann level set
R Munirathinam… - International Journal of …, 2019 - inderscienceonline.com
Alzheimer's Disease (AD) is a progressive neurological disorder resulting in the cognitive
impairment of elderly people. The brainstem is considered as a significant pathological core …
impairment of elderly people. The brainstem is considered as a significant pathological core …
[PDF][PDF] Segmentation of brain structures in Alzheimer MR images using spatial fuzzy clustering level set
S Shaji, R Swaminathan - Biomedical Sciences Instrumentation, 2021 - researchgate.net
Alzheimer‟ s Disease (AD) is an irreversible neurodegenerative disorder that affects brain
structures. Corpus Callosum (CC) atrophy and Lateral ventricle (LV) enlargement are useful …
structures. Corpus Callosum (CC) atrophy and Lateral ventricle (LV) enlargement are useful …
[PDF][PDF] Progression Modeling of Cognitive Disease Using Temporal Data Mining: Research Landscape, Gaps and Solution Design
V Mangat - core.ac.uk
Dementia is a cognitive disorder whose diagnosis and progression monitoring is very
difficult due to a very slow onset and progression. It is difficult to detect whether cognitive …
difficult due to a very slow onset and progression. It is difficult to detect whether cognitive …