Suchergebnisse - Fully-automatic segmentation algorithms

  1. 1

    A fully automatic segmentation algorithm for CT lung images based on random forest von Liu, Caixia, Zhao, Ruibin, Pang, Mingyong

    ISSN: 0094-2405, 2473-4209, 2473-4209
    Veröffentlicht: United States 01.02.2020
    Veröffentlicht in Medical physics (Lancaster) (01.02.2020)
    “… ) images a complex task. We propose a novel hybrid automated algorithm in the paper based on random forest to deal with the issues …”
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    Journal Article
  2. 2

    Fully automatic figure-ground segmentation algorithm based on deep convolutional neural network and GrabCut von Fu, Ruigang, Li, Biao, Gao, Yinghui, Wang, Ping

    ISSN: 1751-9659, 1751-9667
    Veröffentlicht: The Institution of Engineering and Technology 01.12.2016
    Veröffentlicht in IET image processing (01.12.2016)
    “… In this study, the authors present a novel algorithm for figure-ground segmentation based on the GrabCut algorithm, which is a common segmentation algorithm that is user interactive …”
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  3. 3

    Shape prior generation and geodesic active contour interactive iterating algorithm (SPACIAL): fully automatic segmentation for 3D lumen in intravascular optical coherence tomography images von Gui, Luying, Ma, Jun, Yang, Xiaoping

    ISSN: 0094-2405, 2473-4209, 2473-4209
    Veröffentlicht: 01.11.2021
    Veröffentlicht in Medical physics (Lancaster) (01.11.2021)
    “… Purpose: Fully automatic lumen segmentation in intravascular optical coherence tomography (OCT …”
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  4. 4

    Hepatic vessel segmentation for 3D planning of liver surgery experimental evaluation of a new fully automatic algorithm von Conversano, Francesco, Franchini, Roberto, Demitri, Christian, Massoptier, Laurent, Montagna, Francesco, Maffezzoli, Alfonso, Malvasi, Antonio, Casciaro, Sergio

    ISSN: 1878-4046, 1878-4046
    Veröffentlicht: United States 01.04.2011
    Veröffentlicht in Academic radiology (01.04.2011)
    “… The aim of this study was to identify the optimal parameter configuration of a new algorithm for fully automatic segmentation of hepatic vessels, evaluating its accuracy in view of its use …”
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    Journal Article
  5. 5

    Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features von Tian, Hengyi, Wang, Yu, Ji, Yarong, Rahman, Md Mostafizur

    ISSN: 1672-173X
    Veröffentlicht: China 20.03.2024
    “… The fully automatic segmentation of glioma and its subregions is fundamental for computer-aided clinical diagnosis of tumors …”
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    Journal Article
  6. 6

    Fully automatic segmentation of the brain from T1-weighted MRI using Bridge Burner algorithm von Mikheev, Artem, Nevsky, Gregory, Govindan, Siddharth, Grossman, Robert, Rusinek, Henry

    ISSN: 1053-1807, 1522-2586
    Veröffentlicht: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.06.2008
    Veröffentlicht in Journal of magnetic resonance imaging (01.06.2008)
    “… Purpose To validate Bridge Burner, a new brain segmentation algorithm based on thresholding, connectivity, surface detection, and a new operator of constrained growing …”
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  7. 7

    A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI von Avendi, M.R., Kheradvar, Arash, Jafarkhani, Hamid

    ISSN: 1361-8415, 1361-8423, 1361-8423
    Veröffentlicht: Netherlands Elsevier B.V 01.05.2016
    Veröffentlicht in Medical image analysis (01.05.2016)
    “… In this work, we employ deep learning algorithms combined with deformable models to develop and evaluate a fully automatic LV segmentation tool from short-axis cardiac MRI datasets …”
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    Journal Article
  8. 8

    Fully-automatic segmentation of coronary artery using growing algorithm von Cui, Jiali, Guo, Hua, Wang, Huafeng, Chen, Fuqiang, Shu, Lixia, Li, Lihong C

    ISSN: 1095-9114, 1095-9114
    Veröffentlicht: Netherlands 01.01.2020
    Veröffentlicht in Journal of X-ray science and technology (01.01.2020)
    “… In this study, we propose and test a fully automatic coronary artery segmentation method that does not require any human-computer interaction …”
    Weitere Angaben
    Journal Article
  9. 9

    A new fully automatic and robust algorithm for fast segmentation of liver tissue and tumors from CT scans von Massoptier, Laurent, Casciaro, Sergio

    ISSN: 0938-7994, 1432-1084
    Veröffentlicht: Berlin/Heidelberg Springer-Verlag 01.08.2008
    Veröffentlicht in European radiology (01.08.2008)
    “… No interaction between the user and analysis system is required for initialization since the algorithm is fully automatic …”
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  10. 10

    Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks von López-Linares, Karen, Aranjuelo, Nerea, Kabongo, Luis, Maclair, Gregory, Lete, Nerea, Ceresa, Mario, García-Familiar, Ainhoa, Macía, Iván, González Ballester, Miguel A.

    ISSN: 1361-8415, 1361-8423, 1361-8423
    Veröffentlicht: Netherlands Elsevier B.V 01.05.2018
    Veröffentlicht in Medical image analysis (01.05.2018)
    “… •A DCNN-based fully automatic thrombus detection and segmentation pipeline that is easily translatable to clinical practice is proposed …”
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  11. 11

    Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi‐atlas (MA) approach von Lavdas, Ioannis, Glocker, Ben, Kamnitsas, Konstantinos, Rueckert, Daniel, Mair, Henrietta, Sandhu, Amandeep, Taylor, Stuart A., Aboagye, Eric O., Rockall, Andrea G.

    ISSN: 0094-2405, 2473-4209, 2473-4209
    Veröffentlicht: United States 01.10.2017
    Veröffentlicht in Medical physics (Lancaster) (01.10.2017)
    “… ) in oncology, we have developed, evaluated, and compared three algorithms for fully automatic, multiorgan segmentation in healthy volunteers …”
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    Journal Article
  12. 12

    Fully Automatic Adaptive Meshing Based Segmentation of the Ventricular System for Augmented Reality Visualization and Navigation von van Doormaal, Jesse A.M., Fick, Tim, Ali, Meedie, Köllen, Mare, van der Kuijp, Vince, van Doormaal, Tristan P.C.

    ISSN: 1878-8750, 1878-8769, 1878-8769
    Veröffentlicht: United States Elsevier Inc 01.12.2021
    Veröffentlicht in World neurosurgery (01.12.2021)
    “… To be clinically viable, segmentation algorithms should be fully automatic and easily integrated in existing digital infrastructure …”
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  13. 13

    An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography von Burke, Jamie, Engelmann, Justin, Hamid, Charlene, Reid-Schachter, Megan, Pearson, Tom, Pugh, Dan, Dhaun, Neeraj, Storkey, Amos, King, Stuart, MacGillivray, Tom J., Bernabeu, Miguel O., MacCormick, Ian J. C.

    ISSN: 2164-2591, 2164-2591
    Veröffentlicht: United States 01.11.2023
    Veröffentlicht in Translational vision science & technology (01.11.2023)
    “… To develop an open-source, fully automatic deep learning algorithm, DeepGPET, for choroid region segmentation in optical coherence tomography (OCT) data …”
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  14. 14

    Fully automatic grayscale image segmentation based fuzzy C-means with firefly mate algorithm von Alomoush, Waleed, Alrosan, Ayat, Alomari, Yazan M., Alomoush, Alaa A., Almomani, Ammar, Alamri, Hammoudeh S.

    ISSN: 1868-5137, 1868-5145
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022
    “… ) for each image without a prior knowledge or input by the operator. To solve FCM issues, the paper proposes a new fully automatic segmentation method for grayscale images based on fuzzy c-means with firefly mate algorithm (AUTO-FCM-FMA …”
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  15. 15

    A fully-automatic locally adaptive thresholding algorithm for blood vessel segmentation in 3D digital subtraction angiography von Boegel, Marco, Hoelter, Philip, Redel, Thomas, Maier, Andreas, Hornegger, Joachim, Doerfler, Arnd

    ISSN: 1094-687X, 1557-170X, 2694-0604
    Veröffentlicht: United States IEEE 01.01.2015
    “… In this work, we propose a fully-automatic, locally adaptive, gradient-based thresholding algorithm …”
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    Tagungsbericht Journal Article
  16. 16

    Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms von Woo, Ilsang, Lee, Areum, Jung, Seung Chai, Lee, Hyunna, Kim, Namkug, Cho, Se Jin, Kim, Donghyun, Lee, Jungbin, Sunwoo, Leonard, Kang, Dong-Wha

    ISSN: 1229-6929, 2005-8330, 2005-8330
    Veröffentlicht: Korea (South) The Korean Society of Radiology 01.08.2019
    Veröffentlicht in Korean journal of radiology (01.08.2019)
    “… To develop algorithms using convolutional neural networks (CNNs) for automatic segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI …”
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  17. 17

    Fully automatic reconstruction of personalized 3D volumes of the proximal femur from 2D X-ray images von Yu, Weimin, Chu, Chengwen, Tannast, Moritz, Zheng, Guoyan

    ISSN: 1861-6410, 1861-6429, 1861-6429
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2016
    “… An alternative is to reconstruct a 3D patient-specific volume data from 2D X-ray images. Methods In this paper, based on a fully automatic image segmentation algorithm, we propose a new control point-based 2D …”
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  18. 18

    Fully Automatic Scar Segmentation for Late Gadolinium Enhancement MRI Images in Left Ventricle with Myocardial Infarction von Wu, Zheng-hong, Sun, Li-ping, Liu, Yun-long, Dong, Dian-dian, Tong, Lv, Deng, Dong-dong, He, Yi, Wang, Hui, Sun, Yi-bo, Dong, Jian-zeng, Xia, Ling

    ISSN: 2096-5230, 2523-899X, 2523-899X
    Veröffentlicht: Wuhan Huazhong University of Science and Technology 01.04.2021
    Veröffentlicht in Current medical science (01.04.2021)
    “… The subsequent pipeline of infarct tissue segmentation is fully automatic. The segmentation results with the automatic algorithm proposed in this paper were compared …”
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  19. 19

    A fully automatic algorithm for segmentation of the breasts in DCE-MR images von Giannini, V, Vignati, A, Morra, L, Persano, D, Brizzi, D, Carbonaro, L, Bert, A, Sardanelli, F, Regge, D

    ISBN: 1424441234, 9781424441235
    ISSN: 1094-687X, 1557-170X, 2375-7477
    Veröffentlicht: United States IEEE 01.01.2010
    “… In this paper, we present a fully automatic procedure based on the detection of the upper border of the pectoral muscle …”
    Volltext
    Tagungsbericht Journal Article
  20. 20

    RRM‐TransUNet: Deep‐Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images von Wang, Yulan, Liu, Weimin, Yu, Peng, Huang, Xin, Pan, Junjun

    ISSN: 1478-5951, 1478-596X, 1478-596X
    Veröffentlicht: England Wiley Subscription Services, Inc 01.04.2025
    “… Early detection requires precise segmentation results. Fully automatic segmentation algorithms cannot integrate clinical expertise and correct output errors …”
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    Journal Article