Výsledky vyhledávání - "Automatic 3D image segmentation"

Automatic 3D Image Segmentation Using Adaptive k-means on Brain MRI

Autoři: Giuseppe Manfredi Salvatore D’Acunto Luciano Nieddu

Zdroj: Communications in Computer and Information Science ISBN: 9783642254529

Přístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-642-25453-6_16
https://link.springer.com/content/pdf/10.1007%2F978-3-642-25453-6_16.pdf
https://rd.springer.com/chapter/10.1007/978-3-642-25453-6_16

Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice

Autoři: Gomolka, Ryszard S.

Zdroj: Bio Protoc
Bio-Protocol, Vol 15, Iss 1 (2025)
Gomolka, R S 2025, ' Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice ', Bio-protocol, vol. 15, no. 1, e5148 . https://doi.org/10.21769/BioProtoc.5148

Témata: Automatic 3D image segmentation, QH301-705.5, CSF space volumetry, Methods Article, 3D-CISS, Biology (General), MRI

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/2de512709ac64ee7a442e5340098395a
https://curis.ku.dk/ws/files/420886570/Bio_protocol5148.pdf

Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm

Autoři: Diana Mihaela Coroamă Laura Dioșan Teodora Telecan a další

Zdroj: Front Oncol
Frontiers in Oncology, Vol 13 (2023)

Témata: T2 MRI images, light 3D U-Net, Oncology, fully automatic 3D image segmentation, bladder cancer, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, 3. Good health, convolutional neuronal network (CNN)

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36969047
https://doaj.org/article/a83333a2dce6454780dda662564f0734

A Deep Learning-Based Workflow for Dendritic Spine Segmentation

Autoři: Isabel Vidaurre-Gallart Isabel Fernaud-Espinosa Nicusor Cosmin-Toader a další

Přispěvatelé: Isabel Vidaurre-Gallart Isabel Fernaud-Espinosa Nicusor Cosmin-Toader a další

Zdroj: Front Neuroanat
Digital.CSIC. Repositorio Institucional del CSIC
instname
BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
Universidad Rey Juan Carlos
Repisalud
Instituto de Salud Carlos III (ISCIII)
Docusalut
Conselleria de Salut i Consum del Govern de les Illes Balears
Frontiers in Neuroanatomy, Vol 16 (2022)
Frontiers in Neuroanatomy, Vol. 16

Témata: Artificial neural network, 0301 basic medicine, Automatic 3D image segmentation, artificial neural network, confocal microscopy, reconstruction algorithms, pyramidal cells, reconstruction algorithms, QM1-695, Neurosciences. Biological psychiatry. Neuropsychiatry, Pyramidal cells, confocal microscopy, Confocal microscopy, Automatic 3D image segmentation, 03 medical and health sciences, 0302 clinical medicine, pyramidal cells, Human anatomy, automatic 3D image segmentation, Reconstruction algorithms, artificial neural network, RC321-571, Neuroscience

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35370569
http://hdl.handle.net/10261/277503
https://hdl.handle.net/10115/20628
https://hdl.handle.net/20.500.12105/23363
https://hdl.handle.net/20.500.13003/19402
https://doaj.org/article/a9d734fc42bb4392ad1b7469c916f0b6

Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning

Autoři: Liao, Xuan Li, Wenhao Xu, Qisen a další

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1911.10334

Reinforcement learning‐based anatomical maps for pancreas subregion and duct segmentation.

Autoři: Amiri, Sepideh Vrtovec, Tomaž Mustafaev, Tamerlan a další

Zdroj: Medical Physics; Oct2024, Vol. 51 Issue 10, p7378-7392, 15p

Témata: COMPUTED tomography, REINFORCEMENT learning, BILE ducts, ANATOMICAL variation, DATABASES, PANCREAS

The role of extended reality in eloquent area lesions: a systematic review.

Autoři: Marrone, Salvatore Costanzo, Roberta Campisi, Benedetta Maria a další

Zdroj: Neurosurgical Focus; Jan2024, Vol. 56 Issue 1, p1-12, 12p

USING CONVOLUTIONAL NEURAL NETWORK-BASED SEGMENTATION FOR IMAGE-BASED COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF BRAIN ANEURYSMS: INITIAL EXPERIENCE IN AUTOMATED MODEL CREATION.

Autoři: REZAEITALESHMAHALLEH, MOSTAFA LYU, ZONGHAN MU, NAN a další

Zdroj: Journal of Mechanics in Medicine & Biology; May2023, Vol. 23 Issue 4, p1-18, 18p

Témata: CONVOLUTIONAL neural networks, INTRACRANIAL aneurysms, ANEURYSMS, IMAGE segmentation, PEARSON correlation (Statistics), COMPUTATIONAL fluid dynamics

Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm.

Autoři: Coroamă, Diana Mihaela Dioșan, Laura Telecan, Teodora a další

Zdroj: Frontiers in Oncology; 3/9/2023, Vol. 13, p1-11, 11p

Témata: MAGNETIC resonance imaging, THREE-dimensional imaging, ARTIFICIAL intelligence, CANCER diagnosis, DECISION support systems, BLADDER cancer

Wide-Field 3D Ultrasound Imaging Platform With a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears

Autoři: Moon Hwan Lee Jun-Young Kim Kyungsu Lee a další

Zdroj: IEEE Access, Vol 8, Pp 65472-65487 (2020)

Témata: 3D ultrasound, rotator cuff tear, 3D image segmentation, active contour, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9057508/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/2e9af9cb35624e1da627e184f333ce70

A Deep Learning-Based Workflow for Dendritic Spine Segmentation.

Autoři: Vidaurre-Gallart, Isabel Fernaud-Espinosa, Isabel Cosmin-Toader, Nicusor a další

Zdroj: Frontiers in Neuroanatomy; 3/17/2022, Vol. 16, p1-18, 18p

Témata: DENDRITIC spines, BIG data, DEEP learning, CONVOLUTIONAL neural networks, IMAGE segmentation, GRAPHICAL user interfaces, SUPERVISED learning

A Deep Learning-Based Workflow for Dendritic Spine Segmentation

Autoři: Ministerio de Ciencia e Innovación (España) European Commission Vidaurre-Gallart, I. a další

Témata: Artificial neural networks, automatic 3D image segmentation, Confocal microscopy, pyramidal cells, reconstruction algorithms, artículo

URL: http://hdl.handle.net/10261/277503
Publisher's version
http://dx.doi.org/10.3389/fnana.2022.817903
Sí
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-83132-C2-1-R/ES/VISUALIZACION ANALITICA APLICADA
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113013RB-C21/ES/TECNICAS TRANSVERSALES PARA LA VISUALIZACION Y ANALISIS DE DATOS COMPLEJOS Y MULTIMODALES
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85572-P/ES/CADENA COMPLETA DE PROCESAMIENTO MULTI-IMAGEN Y VIDEO
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-86372-C3-3-R/ES/METODOS SENSORIALES PARA LA MANIPULACION SUBMARINA MULTI-ROBOT

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning

Autoři: Xiaoyun Zhang Ya Zhang Yanfeng Wang a další

Zdroj: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :9391-9399

Témata: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://arxiv.org/pdf/1911.10334
http://arxiv.org/abs/1911.10334
https://openaccess.thecvf.com/content_CVPR_2020/papers/Liao_Iteratively-Refined_Interactive_3D_Medical_Image_Segmentation_With_Multi-Agent_Reinforcement_Learning_CVPR_2020_paper.pdf
https://openaccess.thecvf.com/content_CVPR_2020/html/Liao_Iteratively-Refined_Interactive_3D_Medical_Image_Segmentation_With_Multi-Agent_Reinforcement_Learning_CVPR_2020_paper.html
http://dblp.uni-trier.de/db/conf/cvpr/cvpr2020.html#LiaoLXWJZWZ20
https://arxiv.org/abs/1911.10334
https://dblp.uni-trier.de/db/conf/cvpr/cvpr2020.html#LiaoLXWJZWZ20
https://arxiv.org/pdf/1911.10334.pdf

A Light, 3D UNet-based Architecture for Fully Automatic Segmentation of Prostate Lesions from T2-MRI Images.

Autoři: Coroama LG Diosan L Telecan T a další

Zdroj: Current medical imaging [Curr Med Imaging] 2023 May 22. Date of Electronic Publication: 2023 May 22.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Bentham Science Country of Publication: United Arab Emirates NLM ID: 101762461 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-4056 (Electronic) NLM ISO Abbreviation: Curr Med Imaging Subsets: MEDLINE

Postpartum computed tomography angiography of the fetoplacental macrovasculature in normal pregnancies and in those complicated by fetal growth restriction.

Autoři: Sinding, Marianne Thunbo, Mette Ø. Sørensen, Anne a další

Zdroj: Acta Obstetricia et Gynecologica Scandinavica; Mar2018, Vol. 97 Issue 3, p322-329, 8p

Témata: PLACENTAL function tests, FETAL development, COMPUTED tomography, GESTATIONAL age, BIRTH weight, FETAL growth retardation, PLACENTA, PLACENTA diseases, PUERPERIUM, THREE-dimensional imaging, PILOT projects, CASE-control method

System for processing magnetic resonance images using automatic segmenting

SYSTEM FOR PROCESSING MAGNETIC RESONANCE IMAGES USING AUTOMATIC SEGMENTING

Samodejna razgradnja kritičnih organov v medicinskih slikah za načrtovanje radioterapije: magistrsko delo

Autoři: Jeraj, Urban Špiclin, Žiga

Přispěvatelé: Jeraj, Urban Špiclin, Žiga

Témata: quality of segmentation, neural networks, deep learning, strojno učenje, globoke nevronske mreže, machine learning, kakovost razgradenj, Rak, radioterapija, anatomske strukture, radiotherapy, anatomical structures, CT, Cancer

Popis souboru: application/pdf

Přístupová URL adresa: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=127403
https://hdl.handle.net/20.500.12556/RUL-127403

Automatic 3D segmentation and cortical surfaces reconstruction from T1 MRI

AUTOMATIC 3D SEGMENTATION AND CORTICAL SURFACES RECONSTRUCTION FROM T1 MRI