Výsledky vyhľadávania - Semi-automated segmentation algorithms

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 Autor Mohamed, Ahmed Allam, Risse, Kathrin, Schmitz, Laura, Schlenter, Marsha, Chughtai, Ahmed, Ivanciu, Maria, Eble, Michael J.

“… 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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Machine‐assisted interpolation algorithm for semi‐automated segmentation of highly deformable organs Autor Luximon, Dishane C., Abdulkadir, Yasin, Chow, Phillip E., Morris, Eric D., Lamb, James M.

“…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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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 Autor Rickard, Mandy, Fernandez, Nicolas, Blais, Anne‐Sophie, Shalabi, Ahmed, Amirabadi, Afsaneh, Traubici, Jeffrey, Lee, Wayne, Gleason, Joseph, Brzezinski, Jack, Lorenzo, Armando J.

“…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 Autor Kemnitz, Jana, Eckstein, Felix, Culvenor, Adam G., Ruhdorfer, Anja, Dannhauer, Torben, Ring-Dimitriou, Susanne, Sänger, Alexandra M., Wirth, Wolfgang

“… 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 Autor 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

“…)-based chest CT semantic segmentation algorithm that recognizes pulmonary vessels on lobular or segmental levels…”
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Development of a radiobiological evaluation tool to assess the expected clinical impacts of contouring accuracy between manual and semi-automated segmentation algorithms Autor Kim, Yusung, Patwardhan, Kaustubh Anil, Beichel, Reinhard R, Smith, Brian J., Mart, Christopher, Plichta, Kristin A., Chang, Tangel, Sonka, Milan, Graham, Michael M., Magnotta, Vince, Casavant, Thomas, Xia, Junyi, Buatti, John M.

“…RADEval is a tool developed to assess the expected clinical impact of contouring accuracy when comparing manual contouring and semi-automated segmentation…”
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Assessment of glioma response to radiotherapy using multiple MRI biomarkers with manual and semi-automated segmentation algorithms Autor Yu, Yang, Lee, Dong-Hoon, Peng, Shin-Lei, Zhang, Kai, Zhang, Yi, Jiang, Shanshan, Zhao, Xuna, Heo, Hye-Young, Wang, Xiangyang, Chen, Min, Lu, Hanzhang, Li, Haiyun, Zhou, Jinyuan

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A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences Autor Krishnaswamy, Deepa, Hareendranathan, Abhilash R., Suwatanaviroj, Tan, Boulanger, Pierre, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan

“… 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 Autor A, Pakizeh Moghadam

“…” 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 Autor Krishnaswamy, Deepa, Hareendranathan, Abhilash Rakkunedeth, Suwatanaviroj, Tan, Boulanger, Pierre, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan

“… 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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Semi-automated evaluation of trabecular meshwork and schlemm canal imaged with OCT in children with normal eyes vs. primary congenital glaucoma Autor Wang, Bo, Gregston, Alden P., Naithani, Rizul, Alvarez, Samuel, Sigireddi, Rohini R., Freedman, Sharon F.

“…). 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 Autor Clarençon, Frédéric, Maizeroi-Eugène, Franck, Bresson, Damien, Maingreaud, Flavien, Sourour, Nader, Couquet, Claude, Ayoub, David, Chiras, Jacques, Yardin, Catherine, Mounayer, Charbel

“…) 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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Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error Autor Lee, Jong-Min, Yoon, Uicheul, Nam, Sang Hee, Kim, Jung-Hyun, Kim, In-Young, Kim, Sun I.

“… 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 Autor Maenhout, Peter, Sleutel, Steven, Xu, Hui, Van Hoorebeke, Luc, Cnudde, Veerle, De Neve, Stefaan

“… Increasing interest in plant-root phenotyping has stimulated the development of X-ray μCT-based root/soil segmentation protocols…”
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Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation Autor Carles, Montserrat, Fechter, Tobias, Nemer, Ursula, Nanko, Norbert, Mix, Michael, Nestle, Ursula, Schaefer, Andrea

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

“…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 Autor Kakavand, Reza, Palizi, Mehrdad, Tahghighi, Peyman, Ahmadi, Reza, Gianchandani, Neha, Adeeb, Samer, Souza, Roberto, Edwards, W. Brent, Komeili, Amin

“… 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 Autor Do, T. D., Sawall, S., Heinze, S., Reiner, T., Ziener, C. H., Stiller, W., Schlemmer, H. P., Kachelrieß, M., Kauczor, H. U., Skornitzke, S.

“… 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 Autor Macke, Jakob H., Maack, Nina, Gupta, Rocky, Denk, Winfried, Schölkopf, Bernhard, Borst, Alexander

“… 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 Autor Aldieri, Alessandra, Biondi, Riccardo, La Mattina, Antonino A., Szyszko, Julia A., Polizzi, Stefano, Dall’Olio, Daniele, Curti, Nico, Castellani, Gastone, Viceconti, Marco

“… 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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