Suchergebnisse - "automatic 3D image segmentation"

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

Autoren: Gomolka, Ryszard S.

Quelle: 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

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

Dateibeschreibung: application/pdf

Zugangs-URL: 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

Autoren: Diana Mihaela Coroamă Laura Dioșan Teodora Telecan et al.

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

Schlagwörter: 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)

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36969047
https://doaj.org/article/a83333a2dce6454780dda662564f0734

A Deep Learning-Based Workflow for Dendritic Spine Segmentation

Autoren: Isabel Vidaurre-Gallart Isabel Fernaud-Espinosa Nicusor Cosmin-Toader et al.

Weitere Verfasser: Isabel Vidaurre-Gallart Isabel Fernaud-Espinosa Nicusor Cosmin-Toader et al.

Quelle: 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

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: 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

A Deep Learning-Based Workflow for Dendritic Spine Segmentation

Autoren: Ministerio de Ciencia e Innovación (España) European Commission Vidaurre-Gallart, I. et al.

Index Begriffe: 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

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

Autoren: Coroama LG Diosan L Telecan T et al.

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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