Suchergebnisse - "Fully-automated segmentation algorithms"

A patch-based convolutional neural network for localized MRI brain segmentation.

Autoren: Vambe, Trevor Constantine. Viriri, Serestina. Gwetu, Mandlenkosi Victor.

Weitere Verfasser: Vambe, Trevor Constantine. Viriri, Serestina. Gwetu, Mandlenkosi Victor.

Schlagwörter: Fully-automated segmentation algorithms, Semi-automated segmentation algorithms, Patch Based Segmentation, Magnetic resonance imaging, White matter, Grey matter, Cerebrospinal fluid

Dateibeschreibung: application/pdf

Relation: https://researchspace.ukzn.ac.za/handle/10413/21012

Verfügbarkeit: https://researchspace.ukzn.ac.za/handle/10413/21012

Comparison of retinal layer thickness measurements obtained using two different swept-source optical coherence tomography imaging modes.

Autoren: Yoon, Yo Sep Park, Chang Uk Song, Jun Ho et al.

Quelle: International Ophthalmology; May2020, Vol. 40 Issue 5, p1111-1121, 11p

Chronic Glymphatic Dysfunction Modulates Domain‐Specific Cognitive Recovery After Stroke: A DTI‐ALPS Lesion Stratification Study.

Autoren: Chen, Qingwen Zhong, Tao Liu, Jian et al.

Quelle: CNS Neuroscience & Therapeutics; Jul2025, Vol. 31 Issue 7, p1-8, 8p

Schlagwörter: STROKE, COGNITION disorders, BRAIN injuries, CHRONIC diseases, NEUROPSYCHOLOGICAL tests, COGNITIVE rehabilitation, CEREBROSPINAL fluid

Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm.

Autoren: Amoroso, Nicola Rocca, Marianna La Bellotti, Roberto et al.

Quelle: BioMedical Engineering OnLine; 1/22/2018, Vol. 17, p1-N.PAG, 16p

Schlagwörter: ALZHEIMER'S disease diagnosis, MAGNETIC resonance imaging of the brain, ALZHEIMER'S patients, NEURORADIOLOGY, HIPPOCAMPUS (Brain), ALGORITHMS, ALZHEIMER'S disease, ANTHROPOMETRY, DIGITAL image processing, MAGNETIC resonance imaging, ATROPHY, DISEASE complications

Jasmine Flower Color Degradation User-Coded Computer Vision Image Analysis Tool and Kinetics Modeling.

Autoren: Tazeen, Humeera Joice, Astina Tufaique, Talha et al.

Quelle: AgriEngineering; Jun2025, Vol. 7 Issue 6, p193, 28p

Schlagwörter: JASMINE, PHOTOOXIDATIVE stress, COMPUTER vision, COLORIMETRY, IMAGE analysis

Deep ensemble learning-driven fully automated multi-structure segmentation for precision craniomaxillofacial surgery.

Autoren: Bao, Jiahao Tan, Zongcai Sun, Yifeng et al.

Quelle: Frontiers in Bioengineering & Biotechnology; 2025, p1-15, 15p

Tissue optical clearing and expanding solution for improved nuclear segmentation.

Autoren: Matryba, Paweł Wolny, Artur Chwastowicz, Anna et al.

Quelle: View (2688-268X); Feb2025, Vol. 6 Issue 1, p1-18, 18p

Schlagwörter: TISSUE expansion, EXPANSION microscopy, CONFOCAL microscopy, FLUORESCENCE microscopy, IMAGE analysis

OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers.

Autoren: Arikan, Mustafa Willoughby, James Ongun, Sevim et al.

Quelle: Scientific Data; 1/9/2025, Vol. 12 Issue 1, p1-11, 11p

A Practical Guide to Manual and Semi-Automated Neurosurgical Brain Lesion Segmentation

Autoren: Raunak Jain Faith Lee Nianhe Luo et al.

Quelle: NeuroSci
NeuroSci, Vol 5, Iss 3, Pp 265-275 (2024)

Schlagwörter: education, 03 medical and health sciences, 0302 clinical medicine, radiomics, segmentation, glioblastoma, Technical Note, Neurosciences. Biological psychiatry. Neuropsychiatry, meningioma, RC321-571

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39483281
https://doaj.org/article/5383f4af94b04e9d98e96fb085547889

GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare

Autoren: Naida Solak André Ferreira Gijs Luijten et al.

Quelle: Data in Brief, Vol 58, Iss , Pp 111287- (2025)

Schlagwörter: Brain tumor segmentation, Data augmentation, Registration, BraTS, Deep learning, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352340925000198; https://doaj.org/toc/2352-3409

Zugangs-URL: https://doaj.org/article/712a0cffe0ce4c729ca9d94b358cae07

A novel radiomics nomogram based on T2-sampling perfection with application-optimized contrasts using different flip-angle evolutions (SPACE) images for predicting cochlear and vestibular endolymphatic hydrops in Meniere's disease patients.

Autoren: Chen, Wei Yu, Sihui Xiao, Hanyu et al.

Quelle: European Radiology; Sep2024, Vol. 34 Issue 9, p6082-6091, 10p

Schlagwörter: RECEIVER operating characteristic curves, MENIERE'S disease, MAGNETIC resonance imaging, RADIOMICS, NOMOGRAPHY (Mathematics)

A Practical Guide to Manual and Semi-Automated Neurosurgical Brain Lesion Segmentation.

Autoren: Jain, Raunak Lee, Faith Luo, Nianhe et al.

Quelle: NeuroSci; Sep2024, Vol. 5 Issue 3, p265-275, 11p

Two Stages Segmentation Algorithm of Breast Tumor in DCE-MRI Based on Multi-Scale Feature and Boundary Attention Mechanism.

Autoren: Li, Bing Wang, Liangyu Liu, Xia et al.

Quelle: Computers, Materials & Continua; 2024, Vol. 80 Issue 1, p1543-1561, 19p

Schlagwörter: MAGNETIC resonance imaging, CONTRAST-enhanced magnetic resonance imaging, MAGNETIC resonance mammography, BREAST tumors, BREAST, HOSPITAL patients

Biological variation in cervical spinal cord MRI morphometry in healthy individuals and people with multiple sclerosis.

Autoren: Cook, Sarah R. Vasamreddy, Kritin Combes, Anna et al.

Quelle: Journal of Neuroimaging; Jul/Aug2024, Vol. 34 Issue 4, p466-474, 9p

Schlagwörter: CERVICAL cord, SPINAL cord, BIOLOGICAL variation, MULTIPLE sclerosis, MAGNETIC resonance imaging, MORPHOMETRICS, GRAY matter (Nerve tissue)

Machine learning approaches to model cardiac shape in large-scale imaging studies

Autoren: Biffi, Carlo Rueckert, Daniel O'Regan, Declan et al.

Weitere Verfasser: Biffi, Carlo Rueckert, Daniel O'Regan, Declan et al.

Schlagwörter: 616.07

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.819073

The impact of hepatic and splenic volumetric assessment in imaging for chronic liver disease: a narrative review.

Autoren: Kutaiba, Numan Chung, William Goodwin, Mark et al.

Quelle: Insights into Imaging; 6/18/2024, Vol. 15 Issue 1, p1-13, 13p

Schlagwörter: MAGNETIC resonance imaging, HEPATIC fibrosis, PORTAL hypertension, COMPUTED tomography, VOLUMETRIC analysis

Foot kinematics as a function of ground orientation and weightbearing.

Autoren: Conconi, Michele Pompili, Alessandro Sancisi, Nicola et al.

Quelle: Journal of Orthopaedic Research; Jan2024, Vol. 42 Issue 1, p148-163, 16p

Schlagwörter: KINEMATICS, HEEL bone, TOES, RANGE of motion of joints, COMPUTED tomography, ANATOMICAL planes, MEDICAL equipment

Characteristics of paraspinal muscle degeneration in patients with adult degenerative scoliosis.

Autoren: Zhou, Mengmeng Liu, Linyan Chen, Ziyu et al.

Quelle: European Spine Journal; Nov2023, Vol. 32 Issue 11, p4020-4029, 10p

Schlagwörter: SCOLIOSIS, LUMBAR vertebrae, ADULTS, QUALITY of life

Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification.

Autoren: Lin, Andrew Pieszko, Konrad Park, Caroline et al.

Quelle: BJR Open; Nov2023, Vol. 5 Issue 1, p1-11, 11p

Probabilistic model for 3D interactive segmentation.

Autoren: Hershkovich, Tsachi Shalmon, Tamar Shitrit, Ohad et al.

Quelle: Computer Vision & Image Understanding. Oct2016, Vol. 151, p47-60. 14p.

Schlagwörter: Probability theory, Image segmentation, Acquisition of data, Algorithms, Magnetic resonance imaging of the brain, Cerebral hemorrhage