Suchergebnisse - Semi-automated segmentation algorithms

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    Clinical validation of a semiautomated segmentation algorithm for target volume definition on planning CT and CBCT in stereotactic body radiotherapy (SBRT) for peripheral lung lesions von Mohamed, Ahmed Allam, Risse, Kathrin, Schmitz, Laura, Schlenter, Marsha, Chughtai, Ahmed, Ivanciu, Maria, Eble, Michael J.

    ISSN: 2051-3895, 2051-3909, 2051-3909
    Veröffentlicht: United States John Wiley & Sons, Inc 01.04.2023
    Veröffentlicht in Journal of medical radiation sciences (01.04.2023)
    “… In this study, we aimed to evaluate the interobserver variability during SBRT and its dosimetric impact, as well as to introduce a semi …”
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    Journal Article
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    Machine‐assisted interpolation algorithm for semiautomated segmentation of highly deformable organs von Luximon, Dishane C., Abdulkadir, Yasin, Chow, Phillip E., Morris, Eric D., Lamb, James M.

    ISSN: 0094-2405, 2473-4209, 2473-4209
    Veröffentlicht: United States 01.01.2022
    Veröffentlicht in Medical physics (Lancaster) (01.01.2022)
    “… Purpose Accurate and robust auto‐segmentation of highly deformable organs (HDOs), for example, stomach or bowel, remains an outstanding problem due to these organs …”
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    Journal Article
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    Volumetric assessment of unaffected parenchyma and Wilms’ tumours: analysis of response to chemotherapy and surgery using a semiautomated segmentation algorithm in children with renal neoplasms von Rickard, Mandy, Fernandez, Nicolas, Blais, Anne‐Sophie, Shalabi, Ahmed, Amirabadi, Afsaneh, Traubici, Jeffrey, Lee, Wayne, Gleason, Joseph, Brzezinski, Jack, Lorenzo, Armando J.

    ISSN: 1464-4096, 1464-410X, 1464-410X
    Veröffentlicht: England Wiley Subscription Services, Inc 01.05.2020
    Veröffentlicht in BJU international (01.05.2020)
    “… Objective To present our proof of concept with semi‐automatic image recognition/segmentation technology for calculation of tumour/parenchyma volume …”
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    Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas von Kemnitz, Jana, Eckstein, Felix, Culvenor, Adam G., Ruhdorfer, Anja, Dannhauer, Torben, Ring-Dimitriou, Susanne, Sänger, Alexandra M., Wirth, Wolfgang

    ISSN: 0968-5243, 1352-8661, 1352-8661
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2017
    Veröffentlicht in Magma (New York, N.Y.) (01.10.2017)
    “… Longitudinal changes observed in the training intervention were compared between semi-automated and manual segmentations …”
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    AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels von Chen, Xiuyuan, Xu, Hao, Qi, Qingyi, Sun, Chao, Jin, Jian, Zhao, Heng, Wang, Xun, Weng, Wenhan, Wang, Shaodong, Sui, Xizhao, Wang, Zhenfan, Dai, Chenyang, Peng, Muyun, Wang, Dawei, Hao, Zenghao, Huang, Yafen, Wang, Xiang, Duan, Liang, Zhu, Yuming, Hong, Nan, Yang, Fan

    ISSN: 2234-943X, 2234-943X
    Veröffentlicht: Frontiers Media S.A 13.10.2022
    Veröffentlicht in Frontiers in oncology (13.10.2022)
    “… )-based chest CT semantic segmentation algorithm that recognizes pulmonary vessels on lobular or segmental levels …”
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    A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences von Krishnaswamy, Deepa, Hareendranathan, Abhilash R., Suwatanaviroj, Tan, Boulanger, Pierre, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan

    ISSN: 1869-408X, 1869-4098, 1869-4098
    Veröffentlicht: Cham Springer International Publishing 01.02.2022
    Veröffentlicht in Cardiovascular engineering and technology (01.02.2022)
    “… Methods We propose a semi-automated segmentation algorithm for the delineation of the left ventricle in temporal 3D echocardiography sequences …”
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    A Semi-Automated Algorithm for Segmentation of the Left Atrial Appendage Landing Zone: Application in Left Atrial Appendage Occlusion Procedures von A, Pakizeh Moghadam

    ISSN: 2251-7200, 2251-7200
    Veröffentlicht: Iran Shiraz University of Medical Sciences 01.04.2020
    Veröffentlicht in Journal of biomedical physics and engineering (01.04.2020)
    “… ” from echocardiographic images. Objective: We aimed to develop an algorithm for automated segmentation of the LAA landing zone from 3D echocardiographic images of the LAA …”
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    A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography von Krishnaswamy, Deepa, Hareendranathan, Abhilash Rakkunedeth, Suwatanaviroj, Tan, Boulanger, Pierre, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan

    ISSN: 1557-170X, 2694-0604, 1558-4615, 2694-0604
    Veröffentlicht: United States IEEE 01.07.2018
    “… This study proposes a 4D segmentation algorithm that segments over temporal 3D volumes that has minimal user interaction and is based on a diffeomorphic registration approach …”
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    Tagungsbericht Journal Article
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    Semi-automated evaluation of trabecular meshwork and schlemm canal imaged with OCT in children with normal eyes vs. primary congenital glaucoma von Wang, Bo, Gregston, Alden P., Naithani, Rizul, Alvarez, Samuel, Sigireddi, Rohini R., Freedman, Sharon F.

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 12.04.2025
    Veröffentlicht in Scientific reports (12.04.2025)
    “… ). This study aims to evaluate a semi-automated segmentation algorithm of SC and TM in pediatric patients scanned using overhead-mounted optical coherence tomography (OCT …”
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    Elaboration of a semi-automated algorithm for brain arteriovenous malformation segmentation: initial results von Clarençon, Frédéric, Maizeroi-Eugène, Franck, Bresson, Damien, Maingreaud, Flavien, Sourour, Nader, Couquet, Claude, Ayoub, David, Chiras, Jacques, Yardin, Catherine, Mounayer, Charbel

    ISSN: 0938-7994, 1432-1084, 1432-1084
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2015
    Veröffentlicht in European radiology (01.02.2015)
    “… ) on 3D rotational angiography (3D-RA) using a semi-automated segmentation algorithm. Materials and methods Data from 3D-RA of 15 patients (8 males, 7 females …”
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    Journal Article
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    Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error von Lee, Jong-Min, Yoon, Uicheul, Nam, Sang Hee, Kim, Jung-Hyun, Kim, In-Young, Kim, Sun I.

    ISSN: 0010-4825, 1879-0534
    Veröffentlicht: Oxford Elsevier Ltd 01.11.2003
    Veröffentlicht in Computers in biology and medicine (01.11.2003)
    “… In this paper, we evaluated the accuracy and efficiency of both automated and semi-automated skull-stripping methods …”
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    Semi-automated segmentation and visualization of complex undisturbed root systems with X-ray μCT von Maenhout, Peter, Sleutel, Steven, Xu, Hui, Van Hoorebeke, Luc, Cnudde, Veerle, De Neve, Stefaan

    ISSN: 0167-1987, 1879-3444
    Veröffentlicht: Elsevier B.V 01.09.2019
    Veröffentlicht in Soil & tillage research (01.09.2019)
    “… Increasing interest in plant-root phenotyping has stimulated the development of X-ray μCT-based root/soil segmentation protocols …”
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    Journal Article
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    Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation von Carles, Montserrat, Fechter, Tobias, Nemer, Ursula, Nanko, Norbert, Mix, Michael, Nestle, Ursula, Schaefer, Andrea

    ISSN: 1361-6560
    Veröffentlicht: England 21.12.2015
    Veröffentlicht in Physics in medicine & biology (21.12.2015)
    “… The aim of this work was to evaluate a semi-automated contrast-oriented algorithm (COA) for PET tumor segmentation adapted to retrospectively gated (4D) images …”
    Weitere Angaben
    Journal Article
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    Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method von Varga-Szemes, Akos, Muscogiuri, Giuseppe, Schoepf, U. Joseph, Wichmann, Julian L., Suranyi, Pal, De Cecco, Carlo N., Cannaò, Paola M., Renker, Matthias, Mangold, Stefanie, Fox, Mary A., Ruzsics, Balazs

    ISSN: 0938-7994, 1432-1084, 1432-1084
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2016
    Veröffentlicht in European radiology (01.05.2016)
    “… Objectives To assess the accuracy and efficiency of a threshold-based, semi-automated cardiac MRI segmentation algorithm in comparison with conventional contour-based segmentation and aortic flow measurements …”
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    Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage von Kakavand, Reza, Palizi, Mehrdad, Tahghighi, Peyman, Ahmadi, Reza, Gianchandani, Neha, Adeeb, Samer, Souza, Roberto, Edwards, W. Brent, Komeili, Amin

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 02.02.2024
    Veröffentlicht in Scientific reports (02.02.2024)
    “… The present study aimed to enhance subject-specific knee joint FE modeling by incorporating a semi-automated segmentation algorithm using a 3D Swin UNETR for an initial segmentation of the femur …”
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    A semi-automated quantitative comparison of metal artifact reduction in photon-counting computed tomography by energy-selective thresholding von Do, T. D., Sawall, S., Heinze, S., Reiner, T., Ziener, C. H., Stiller, W., Schlemmer, H. P., Kachelrieß, M., Kauczor, H. U., Skornitzke, S.

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 03.12.2020
    Veröffentlicht in Scientific reports (03.12.2020)
    “… Metal artifacts were quantified by a semi-automated segmentation algorithm, calculating artifact volumes, means and standard deviations of CT numbers …”
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    Contour-propagation algorithms for semi-automated reconstruction of neural processes von Macke, Jakob H., Maack, Nina, Gupta, Rocky, Denk, Winfried, Schölkopf, Bernhard, Borst, Alexander

    ISSN: 0165-0270, 1872-678X
    Veröffentlicht: Netherlands Elsevier B.V 30.01.2008
    Veröffentlicht in Journal of neuroscience methods (30.01.2008)
    “… Therefore, highly automated 3D reconstruction algorithms are needed. As a first step in this direction …”
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    Development and validation of a semi-automated and unsupervised method for femur segmentation from CT von Aldieri, Alessandra, Biondi, Riccardo, La Mattina, Antonino A., Szyszko, Julia A., Polizzi, Stefano, Dall’Olio, Daniele, Curti, Nico, Castellani, Gastone, Viceconti, Marco

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 28.03.2024
    Veröffentlicht in Scientific reports (28.03.2024)
    “… This work proposes a semi-automated procedure for femur bone segmentation from CT images. The proposed procedure is based on the bone and joint enhancement filter and graph-cut algorithms …”
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    Journal Article