Search Results - 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 by 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…”
Get full text

Machine‐assisted interpolation algorithm for semi‐automated segmentation of highly deformable organs by 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…”
Get full text

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 by 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…”
Get full text

Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas by 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…”
Get full text

AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels by 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…”
Get full text

Development of a radiobiological evaluation tool to assess the expected clinical impacts of contouring accuracy between manual and semi-automated segmentation algorithms by 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…”
Get full text

Assessment of glioma response to radiotherapy using multiple MRI biomarkers with manual and semi-automated segmentation algorithms by 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

Get full text

A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences by 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…”
Get full text

A Semi-Automated Algorithm for Segmentation of the Left Atrial Appendage Landing Zone: Application in Left Atrial Appendage Occlusion Procedures by 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…”
Get full text

A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography by 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…”
Get full text

Semi-automated evaluation of trabecular meshwork and schlemm canal imaged with OCT in children with normal eyes vs. primary congenital glaucoma by 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…”
Get full text

Elaboration of a semi-automated algorithm for brain arteriovenous malformation segmentation: initial results by 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…”
Get full text

Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error by 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…”
Get full text

Semi-automated segmentation and visualization of complex undisturbed root systems with X-ray μCT by 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…”
Get full text

Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation by 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…”
Get more information

Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method by 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…”
Get full text

Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage by 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…”
Get full text

A semi-automated quantitative comparison of metal artifact reduction in photon-counting computed tomography by energy-selective thresholding by 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…”
Get full text

Contour-propagation algorithms for semi-automated reconstruction of neural processes by 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…”
Get full text

Development and validation of a semi-automated and unsupervised method for femur segmentation from CT by 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…”
Get full text