Výsledky vyhledávání - Semi-automated segmentation algorithms*

Machine learning driven semi-automated framework for yeast sporulation efficiency quantification using ilastik segmentation and Fiji nuclear enumeration.

Autoři: Shang X Yang Z Peng G a další

Zdroj: Fungal genetics and biology : FG & B [Fungal Genet Biol] 2025 Sep; Vol. 180, pp. 104024. Date of Electronic Publication: 2025 Aug 26.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Academic Press Country of Publication: United States NLM ID: 9607601 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0937 (Electronic) Linking ISSN: 10871845 NLM ISO Abbreviation: Fungal Genet Biol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Spores, Fungal*/genetics , Spores, Fungal*/growth & development , Image Processing, Computer-Assisted*/methods , Machine Learning* , Saccharomyces cerevisiae*/genetics , Saccharomyces cerevisiae*/growth & development , Saccharomyces cerevisiae*/physiology, Algorithms ; Saccharomyces cerevisiae Proteins/genetics

Development and validation of a semi-automated and unsupervised method for femur segmentation from CT

Autoři: Aldieri, Alessandra Biondi, Riccardo La Mattina, Antonino A. a další

Zdroj: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Scientific Reports

Témata: Graph-cut, Hip Fractures, Science, Femur segmentation, 0206 medical engineering, 02 engineering and technology, Bone and joint enhancement filter, CT, Finite element model, Semi-automated segmentation, Article, Lower Extremity, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Medicine, Humans, Femur, Tomography, X-Ray Computed, Algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38548805
https://doaj.org/article/f5835009f36d4f0e9445596a195788b7
https://hdl.handle.net/11585/967519
https://doi.org/10.1038/s41598-024-57618-6
https://www.nature.com/articles/s41598-024-57618-6

A semi-automated algorithm for image analysis of respiratory organoids.

Autoři: Demchenko, Anna Balyasin, Maxim Kondratyeva, Elena a další

Zdroj: PLoS Computational Biology; 10/27/2025, Vol. 21 Issue 10, p1-16, 16p

Témata: ORGANOIDS, CYSTIC fibrosis, IMAGE analysis, ALGORITHMS, DRUG discovery, IMAGE segmentation

Clinical validation of a semi‐automated segmentation algorithm for target volume definition on planning CT and CBCT in stereotactic body radiotherapy (SBRT) for peripheral lung lesions

Autoři: Ahmed Allam Mohamed Kathrin Risse Laura Schmitz a další

Zdroj: J Med Radiat Sci
Journal of Medical Radiation Sciences, Vol 70, Iss S2, Pp 37-47 (2023)
Journal of Medical Radiation Sciences 70(S2), 37-47 (2022). doi:10.1002/jmrs.637 special issue: "Special Issue:Horizon scanning: The impact of technology and integration on medical radiation sciences profession / Issue Edited by: Shivani Kumar, Robba Rai"

Témata: interobserver variability, Lung Neoplasms, intrafractional variation, Radiotherapy Planning, Computer-Assisted, R895-920, CBCT, Automated delineation, Original Articles, Spiral Cone-Beam Computed Tomography, Cone-Beam Computed Tomography, Radiosurgery, 3. Good health, Medical physics. Medical radiology. Nuclear medicine, 03 medical and health sciences, 0302 clinical medicine, Carcinoma, Non-Small-Cell Lung, Humans, interfractional variation, Lung, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36424343
https://doaj.org/article/5e750b27e6064a708c3cd4f20ced5e42
https://publications.rwth-aachen.de/record/953648

Development of a radiobiological evaluation tool to assess the expected clinical impacts of contouring accuracy between manual and semi-automated segmentation algorithms

Autoři: John M. Buatti Michael M. Graham C. Mart a další

Zdroj: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :3409-3412

Témata: Automation, 03 medical and health sciences, 0302 clinical medicine, 13. Climate action, Algorithms, Probability

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/29060629
http://doi.org/10.1109/EMBC.2017.8037588
https://pubmed.ncbi.nlm.nih.gov/29060629/
https://www.ncbi.nlm.nih.gov/pubmed/29060629
https://ieeexplore.ieee.org/document/8037588/
https://dblp.uni-trier.de/db/conf/embc/embc2017.html#KimPBSMPCSGMCXB17
http://europepmc.org/abstract/MED/29060629

A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences

Autoři: Deepa Krishnaswamy Abhilash R. Hareendranathan Tan Suwatanaviroj a další

Zdroj: Cardiovascular Engineering and Technology. 13:55-68

Témata: FOS: Computer and information sciences, Echocardiography, Heart Ventricles, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Echocardiography, Three-Dimensional, FOS: Electrical engineering, electronic engineering, information engineering, Humans, Heart, Electrical Engineering and Systems Science - Image and Video Processing, Algorithms

Přístupová URL adresa: http://arxiv.org/pdf/2109.01132
https://pubmed.ncbi.nlm.nih.gov/34046844
http://arxiv.org/abs/2109.01132
https://www.mysciencework.com/publication/show/new-semiautomated-algorithm-volumetric-segmentation-left-ventricle-temporal-3d-echocardiography-sequences-7afe3bbf
https://dblp.uni-trier.de/db/journals/corr/corr2109.html#abs-2109-01132
https://link.springer.com/article/10.1007/s13239-021-00547-6
https://europepmc.org/article/MED/34046844
http://www.ncbi.nlm.nih.gov/pubmed/34046844
https://www.ncbi.nlm.nih.gov/pubmed/34046844
http://arxiv.org/pdf/2109.01132.pdf
https://arxiv.org/abs/2109.01132
http://ui.adsabs.harvard.edu/abs/2021arXiv210901132K/abstract
http://export.arxiv.org/abs/2109.01132

SEMI-AUTOMATED 3D SEGMENTATION OF PELVIC REGION BONES IN CT VOLUMES FOR THE ANNOTATION OF MACHINE LEARNING DATASETS

Autoři: Maria Magnusson José Carlos González Sánchez Michael Sandborg a další

Zdroj: Radiat Prot Dosimetry

Témata: Paper, Radiation, Environmental and Occupational Health, General Medicine, 02 engineering and technology, Hälsovetenskaper, Pelvis, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Radiology Nuclear Medicine and imaging, Health Sciences, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Public Health, Neural Networks, Computer, Pelvic Bones, Tomography, X-Ray Computed, Algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://academic.oup.com/rpd/advance-article-pdf/doi/10.1093/rpd/ncab073/38196688/ncab073.pdf
https://pubmed.ncbi.nlm.nih.gov/34037238
https://europepmc.org/article/MED/34037238
https://academic.oup.com/rpd/article/195/3-4/172/6283938
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-180196

Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI

Autoři: Hari McGrath Jonathan Shapey Reuben Dorent a další

Zdroj: Int J Comput Assist Radiol Surg

Témata: Contrast Media, FOS: Physical sciences, Neuroimaging, Quantitative Biology - Quantitative Methods, Pattern Recognition, Automated, Machine Learning, Automation, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, FOS: Electrical engineering, electronic engineering, information engineering, Humans, Diagnosis, Computer-Assisted, Quantitative Methods (q-bio.QM), Image and Video Processing (eess.IV), Reproducibility of Results, Neuroma, Acoustic, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Medical Physics, Magnetic Resonance Imaging, FOS: Biological sciences, Original Article, Medical Physics (physics.med-ph), Algorithms, Neurilemmoma, Software

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s11548-020-02222-y.pdf
https://pubmed.ncbi.nlm.nih.gov/32676869
http://arxiv.org/abs/2004.14462
https://arxiv.org/abs/2004.14462
https://arxiv.org/pdf/2004.14462.pdf
http://export.arxiv.org/pdf/2004.14462
https://link.springer.com/content/pdf/10.1007/s11548-020-02222-y.pdf
https://www.ncbi.nlm.nih.gov/pubmed/32676869
https://link.springer.com/article/10.1007/s11548-020-02222-y
https://www.arxiv-vanity.com/papers/2004.14462/
https://doi.org/10.1007/s11548-020-02222-y
https://dblp.uni-trier.de/db/journals/cars/cars15.html#McGrathLDBSBOSV20

A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning

Autoři: Morrison, Melanie A Payabvash, Seyedmehdi Chen, Yicheng a další

Témata: Algorithms, Cerebral Hemorrhage, Cohort Studies, Data Analysis, Humans, Image Processing, Computer-Assisted, Machine Learning, Microcirculation, Retrospective Studies, Vascular System Injuries, Cerebral microbleeds, Lesion, Vascular injury, Magnetic resonance imaging, Susceptibility weighted imaging, Brain tumor, Radiation therapy, Machine learning, Algorithm, Automated, Neurosciences

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/7502199h
https://escholarship.org/content/qt7502199h/qt7502199h.pdf

Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error

Autoři: In Young Kim Jung Hyun Kim Jongmin Lee a další

Zdroj: Computers in Biology and Medicine. 33:495-507

Témata: 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, Brain, Humans, Reproducibility of Results, Magnetic Resonance Imaging, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/12878233
https://dblp.uni-trier.de/db/journals/cbm/cbm33.html#LeeYNKKK03
https://www.sciencedirect.com/science/article/pii/S0010482503000222
http://europepmc.org/abstract/MED/12878233
https://hanyang.elsevierpure.com/en/publications/evaluation-of-automated-and-semi-automated-skull-stripping-algori-2
https://www.ncbi.nlm.nih.gov/pubmed/12878233
https://www.sciencedirect.com/science/article/pii/S0010482503000222#!

Volumetric assessment of unaffected parenchyma and Wilms’ tumours: analysis of response to chemotherapy and surgery using a semi‐automated segmentation algorithm in children with renal neoplasms

Autoři: Nicolás Fernández Afsaneh Amirabadi Wayne Lee a další

Zdroj: BJU International. 125:695-701

Témata: Male, Adolescent, Infant, Newborn, Infant, Antineoplastic Agents, Organ Size, Nephrectomy, Wilms Tumor, Kidney Neoplasms, Neoadjuvant Therapy, 3. Good health, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, Chemotherapy, Adjuvant, Child, Preschool, Feasibility Studies, Humans, Female, Child, Tomography, X-Ray Computed, Algorithms, Retrospective Studies

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/32012416
https://pubmed.ncbi.nlm.nih.gov/32012416/
https://onlinelibrary.wiley.com/doi/full/10.1111/bju.15026
https://europepmc.org/article/MED/32012416
https://www.ncbi.nlm.nih.gov/pubmed/32012416
https://bjui-journals.onlinelibrary.wiley.com/doi/10.1111/bju.15026

PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms

Autoři: Hosseini, Seyyed Ali Hajianfar, Ghasem Ghaffarian, Pardis a další

Zdroj: Phys Eng Sci Med

Témata: Male, Adult, Lung Neoplasms, Image Processing, Lung Neoplasms/diagnostic imaging, NSCLC, Scientific Paper, Machine Learning, Computer-Assisted, Segmentation, Non-Small-Cell Lung/diagnostic imaging, Carcinoma, Non-Small-Cell Lung, Machine learning, Image Processing, Computer-Assisted, Humans, Neoplasm Invasiveness, Neoplasm Invasiveness/diagnostic imaging, Aged, Radiomics, 616.0757, Carcinoma, Middle Aged, PET, Lymphovascular invasion, ROC Curve, Positron-Emission Tomography, Female, Algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39225775
https://archive-ouverte.unige.ch/unige:183014
https://doi.org/10.1007/s13246-024-01475-0

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

Autoři: Raunak Jain Faith Lee Nianhe Luo a další

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

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

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

A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography

Autoři: Kumaradevan Punithakumar Harald Becher Deepa Krishnaswamy a další

Zdroj: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :1119-1122

Témata: Canada, 03 medical and health sciences, 0302 clinical medicine, Echocardiography, Heart Ventricles, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Humans, Reproducibility of Results, 02 engineering and technology, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/30440586
https://dblp.uni-trier.de/db/conf/embc/embc2018.html#KrishnaswamyHSB18
https://www.ncbi.nlm.nih.gov/pubmed/30440586
http://www.ncbi.nlm.nih.gov/pubmed/30440586

Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method

Autoři: Mary A. Fox Paola M. Cannaò Carlo N. De Cecco a další

Zdroj: European Radiology. 26:1503-1511

Témata: Male, Observer Variation, Magnetic Resonance Spectroscopy, Heart Ventricles, Myocardium, Magnetic Resonance Imaging, Cine, Reproducibility of Results, Stroke Volume, Middle Aged, Ventricular Dysfunction, Left, 03 medical and health sciences, Aortic flow, Cine magnetic resonance imaging, Left ventricular function, Left ventricular mass, Semi-automated segmentation, 0302 clinical medicine, Feasibility Studies, Humans, Female, Algorithms, Magnetic Resonance Angiography

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/26267520
https://www.ncbi.nlm.nih.gov/pubmed/26267520
https://pubmed.ncbi.nlm.nih.gov/26267520/
https://publikationen.uni-tuebingen.de/xmlui/handle/10900/74580
https://link.springer.com/article/10.1007/s00330-015-3952-4
https://europepmc.org/article/MED/26267520

A Comparison of Repeatability and Usability of Semi-Automated Volume Segmentation Tools for Measurement of Vestibular Schwannomas

Autoři: Samuel A C MacKeith Neil Donnelly Tilak Das a další

Zdroj: Otology & Neurotology. 39:e496-e505

Témata: Male, Observer Variation, Reproducibility of Results, Gadolinium, Neuroma, Acoustic, Middle Aged, Magnetic Resonance Imaging, 03 medical and health sciences, 0302 clinical medicine, Image Interpretation, Computer-Assisted, Humans, Female, Algorithms, Aged

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/29649049
https://www.ncbi.nlm.nih.gov/pubmed/29649049
https://pubmed.ncbi.nlm.nih.gov/29649049/

A Systematic Survey on Segmentation Algorithms for Musculoskeletal Tissues in Ultrasound Imaging: A Systematic Survey on Segmentation Algorithms...: A. H. Ramakrishnan et al.

Autoři: Ramakrishnan, Ananth Hari Rajappa, Muthaiah Kirthivasan, Kannan a další

Zdroj: Archives of Computational Methods in Engineering; Apr2025, Vol. 32 Issue 3, p1335-1368, 34p

Semi-Automated Segmentation of the Tumor Vasculature in Contrast-Enhanced Ultrasound Data

Autoři: Benjamin Theek Twan Lammers Fabian Kiessling a další

Zdroj: Ultrasound in Medicine & Biology. 44:1910-1917

Témata: Ovarian Neoplasms, Contrast Media, Mice, Nude, Image Enhancement, Disease Models, Animal, Mice, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, Animals, Humans, Female, Algorithms, Ultrasonography

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/29730066
https://www.ncbi.nlm.nih.gov/pubmed/29730066
https://www.sciencedirect.com/science/article/abs/pii/S0301562918301248
https://pubmed.ncbi.nlm.nih.gov/29730066/

An AI-based tool for prosthetic crown segmentation serving automated intraoral scan-to-CBCT registration in challenging high artifact scenarios

Autoři: Bahaaeldeen M. Elgarba Saleem Ali Rocharles Cavalcante Fontenele a další

Zdroj: The Journal of Prosthetic Dentistry. 134:191-198

Témata: BEAM COMPUTED-TOMOGRAPHY, Science & Technology, SURFACE, Crowns, ACCURACY, 1105 Dentistry, Cone-Beam Computed Tomography, GUIDED IMPLANT-SURGERY, 0903 Biomedical Engineering, 3203 Dentistry, TISSUE, Artificial Intelligence, Dentistry, Dentistry, Oral Surgery & Medicine, Image Processing, Computer-Assisted, Humans, Artifacts, Life Sciences & Biomedicine, Algorithms, 4003 Biomedical engineering

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40016077
https://lirias.kuleuven.be/handle/20.500.12942/762830
https://doi.org/10.1016/j.prosdent.2025.02.004

Development of a semi-automated segmentation tool for high frequency ultrasound image analysis of mouse echocardiograms

Autoři: Kristi Powers Rhonda S. Silva Justin Torello a další

Zdroj: Sci Rep
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)

Témata: Male, Science, Reproducibility of Results, Article, High-Throughput Screening Assays, 3. Good health, Automation, Mice, 03 medical and health sciences, 0302 clinical medicine, Echocardiography, Image Processing, Computer-Assisted, Medicine, Animals, Algorithms, Software, Ultrasonography

Přístupová URL adresa: https://www.nature.com/articles/s41598-021-85971-3.pdf
https://pubmed.ncbi.nlm.nih.gov/33753835
https://doaj.org/article/60f29d1b81ba4614973066b5c9d3f9c0
http://www-nature-com-443.webvpn.bjmu.tsg211.com/articles/s41598-021-85971-3
http://www.ncbi.nlm.nih.gov/pubmed/33753835
https://www.nature.com/articles/s41598-021-85971-3