Artykuły w czasopismach na temat „Automated Segmentation Method”
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Harkey, Matthew S., Nicholas Michel, Christopher Kuenze, Ryan Fajardo, Matt Salzler, Jeffrey B. Driban i Ilker Hacihaliloglu. "Validating a Semi-Automated Technique for Segmenting Femoral Articular Cartilage on Ultrasound Images". CARTILAGE 13, nr 2 (kwiecień 2022): 194760352210930. http://dx.doi.org/10.1177/19476035221093069.
Pełny tekst źródłaWang, Yang, Yihao Chen, Hao Yuan i Cheng Wu. "An automated learning method of semantic segmentation for train autonomous driving environment understanding". International Journal of Advances in Intelligent Informatics 10, nr 1 (29.02.2024): 148. http://dx.doi.org/10.26555/ijain.v10i1.1521.
Pełny tekst źródłaKemnitz, Jana, Christian F. Baumgartner, Felix Eckstein, Akshay Chaudhari, Anja Ruhdorfer, Wolfgang Wirth, Sebastian K. Eder i Ender Konukoglu. "Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain". Magnetic Resonance Materials in Physics, Biology and Medicine 33, nr 4 (23.12.2019): 483–93. http://dx.doi.org/10.1007/s10334-019-00816-5.
Pełny tekst źródłaBuser, Myrthe A. D., Alida F. W. van der Steeg, Marc H. W. A. Wijnen, Matthijs Fitski, Harm van Tinteren, Marry M. van den Heuvel-Eibrink, Annemieke S. Littooij i Bas H. M. van der Velden. "Radiologic versus Segmentation Measurements to Quantify Wilms Tumor Volume on MRI in Pediatric Patients". Cancers 15, nr 7 (1.04.2023): 2115. http://dx.doi.org/10.3390/cancers15072115.
Pełny tekst źródłaMatin-Mann, Farnaz, Ziwen Gao, Chunjiang Wei, Felix Repp, Eralp-Niyazi Artukarslan, Samuel John, Dorian Alcacer Labrador, Thomas Lenarz i Verena Scheper. "Development and In-Silico and Ex-Vivo Validation of a Software for a Semi-Automated Segmentation of the Round Window Niche to Design a Patient Specific Implant to Treat Inner Ear Disorders". Journal of Imaging 9, nr 2 (20.02.2023): 51. http://dx.doi.org/10.3390/jimaging9020051.
Pełny tekst źródłaSunoqrot, Mohammed R. S., Kirsten M. Selnæs, Elise Sandsmark, Gabriel A. Nketiah, Olmo Zavala-Romero, Radka Stoyanova, Tone F. Bathen i Mattijs Elschot. "A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI". Diagnostics 10, nr 9 (18.09.2020): 714. http://dx.doi.org/10.3390/diagnostics10090714.
Pełny tekst źródłaClark, A. E., B. Biffi, R. Sivera, A. Dall'Asta, L. Fessey, T. L. Wong, G. Paramasivam, D. Dunaway, S. Schievano i C. C. Lees. "Developing and testing an algorithm for automatic segmentation of the fetal face from three-dimensional ultrasound images". Royal Society Open Science 7, nr 11 (listopad 2020): 201342. http://dx.doi.org/10.1098/rsos.201342.
Pełny tekst źródłaNguyen, Philon, Thanh An Nguyen i Yong Zeng. "Segmentation of design protocol using EEG". Artificial Intelligence for Engineering Design, Analysis and Manufacturing 33, nr 1 (3.04.2018): 11–23. http://dx.doi.org/10.1017/s0890060417000622.
Pełny tekst źródłaNishiyama, Daisuke, Hiroshi Iwasaki, Takaya Taniguchi, Daisuke Fukui, Manabu Yamanaka, Teiji Harada i Hiroshi Yamada. "Deep generative models for automated muscle segmentation in computed tomography scanning". PLOS ONE 16, nr 9 (10.09.2021): e0257371. http://dx.doi.org/10.1371/journal.pone.0257371.
Pełny tekst źródłaG, Mohandass, Hari Krishnan G i Hemalatha R J. "An approach to automated retinal layer segmentation in SDOCT images". International Journal of Engineering & Technology 7, nr 2.25 (3.05.2018): 56. http://dx.doi.org/10.14419/ijet.v7i2.25.12371.
Pełny tekst źródłaYang, Xin, Chaoyue Liu, Hung Le Minh, Zhiwei Wang, Aichi Chien i Kwang-Ting (Tim) Cheng. "An automated method for accurate vessel segmentation". Physics in Medicine and Biology 62, nr 9 (6.04.2017): 3757–78. http://dx.doi.org/10.1088/1361-6560/aa6418.
Pełny tekst źródłaJaware, Tushar H., K. B. Khanchandani i Anita Zurani. "An Accurate Automated Local Similarity Factor-Based Neural Tree Approach toward Tissue Segmentation of Newborn Brain MRI". American Journal of Perinatology 36, nr 11 (15.12.2018): 1157–70. http://dx.doi.org/10.1055/s-0038-1675375.
Pełny tekst źródłaHalawa, Abdelrahman, Shehab Gamalel-Din i Abdurrahman Nasr. "EXPLOITING BERT FOR MALFORMED SEGMENTATION DETECTION TO IMPROVE SCIENTIFIC WRITINGS". Applied Computer Science 19, nr 2 (30.06.2023): 126–41. http://dx.doi.org/10.35784/acs-2023-20.
Pełny tekst źródłaBowes, Michael Antony, Gwenael Alain Guillard, Graham Richard Vincent, Alan Donald Brett, Christopher Brian Hartley Wolstenholme i Philip Gerard Conaghan. "Precision, Reliability, and Responsiveness of a Novel Automated Quantification Tool for Cartilage Thickness: Data from the Osteoarthritis Initiative". Journal of Rheumatology 47, nr 2 (15.04.2019): 282–89. http://dx.doi.org/10.3899/jrheum.180541.
Pełny tekst źródłaPociask, Elżbieta, Krzysztof Piotr Malinowski, Magdalena Ślęzak, Joanna Jaworek-Korjakowska, Wojciech Wojakowski i Tomasz Roleder. "Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography". Journal of Healthcare Engineering 2018 (26.12.2018): 1–13. http://dx.doi.org/10.1155/2018/1414076.
Pełny tekst źródłaMASSOPTIER, LAURENT, AVISHKAR MISRA, ARCOT SOWMYA i SERGIO CASCIARO. "COMBINING GRAPH-CUT TECHNIQUE AND ANATOMICAL KNOWLEDGE FOR AUTOMATIC SEGMENTATION OF LUNGS AFFECTED BY DIFFUSE PARENCHYMAL DISEASE IN HRCT IMAGES". International Journal of Image and Graphics 11, nr 04 (październik 2011): 509–29. http://dx.doi.org/10.1142/s0219467811004202.
Pełny tekst źródłaBouzid-Daho, Abdellatif, Naima Sofi, Schahrazad Soltane i Patrick Siarry. "Automated detection in microscopic images using segmentation". Brazilian Journal of Technology 7, nr 2 (30.04.2024): e69317. http://dx.doi.org/10.38152/bjtv7n2-003.
Pełny tekst źródłaSun, Yusen, Xingji Jin, Timo Pukkala i Fengri Li. "A Comparison of Four Methods for Automatic Delineation of Tree Stands from Grids of LiDAR Metrics". Remote Sensing 14, nr 24 (7.12.2022): 6192. http://dx.doi.org/10.3390/rs14246192.
Pełny tekst źródłaXiong, Hui, Laith R. Sultan, Theodore W. Cary, Susan M. Schultz, Ghizlane Bouzghar i Chandra M. Sehgal. "The diagnostic performance of leak-plugging automated segmentation versus manual tracing of breast lesions on ultrasound images". Ultrasound 25, nr 2 (25.01.2017): 98–106. http://dx.doi.org/10.1177/1742271x17690425.
Pełny tekst źródłaGolkar, Ehsan, Hossein Rabbani i Ashrani Aizzuddin Abd. Rahni. "Inter-subject Registration-based Segmentation of Thoracic-Abdominal Organs in 4 Dimensional Magnetic Resonance Imaging". Jurnal Kejuruteraan 33, nr 4 (30.11.2021): 1045–51. http://dx.doi.org/10.17576/jkukm-2021-33(4)-26.
Pełny tekst źródłaTran, Carol, Orit Glenn, Christopher Hess i Andreas Rauschecker. "4252 Automated Fetal Brain Volumetry on Clinical Fetal MRI Using Convolutional Neural Network". Journal of Clinical and Translational Science 4, s1 (czerwiec 2020): 45–46. http://dx.doi.org/10.1017/cts.2020.169.
Pełny tekst źródłaJin, Felix Q., Anna E. Knight, Adela R. Cardones, Kathryn R. Nightingale i Mark L. Palmeri. "Semi-automated weak annotation for deep neural network skin thickness measurement". Ultrasonic Imaging 43, nr 4 (11.05.2021): 167–74. http://dx.doi.org/10.1177/01617346211014138.
Pełny tekst źródłaJiang, Huiyan, Shaojie Li i Siqi Li. "Registration-Based Organ Positioning and Joint Segmentation Method for Liver and Tumor Segmentation". BioMed Research International 2018 (24.09.2018): 1–11. http://dx.doi.org/10.1155/2018/8536854.
Pełny tekst źródłaChoi, Woorim, Chul-Ho Kim, Hyein Yoo, Hee Rim Yun, Da-Wit Kim i Ji Wan Kim. "Development and validation of a reliable method for automated measurements of psoas muscle volume in CT scans using deep learning-based segmentation: a cross-sectional study". BMJ Open 14, nr 5 (maj 2024): e079417. http://dx.doi.org/10.1136/bmjopen-2023-079417.
Pełny tekst źródłaLee, Seyoung, Kai Zhang, Jeeyeon Lee, Peter Haseok Kim, Amogh Hiremath, Salie Lee, Monica Yadav i in. "Abstract 2595: Accelerated and precise tumor segmentation in NSCLC: A comparative analysis of automated ClickSeg and manual annotation for radiomics". Cancer Research 84, nr 6_Supplement (22.03.2024): 2595. http://dx.doi.org/10.1158/1538-7445.am2024-2595.
Pełny tekst źródłaZemborain, Zane Zenon, Matias Soifer, Nadim S. Azar, Sofia Murillo, Hazem M. Mousa, Victor L. Perez i Sina Farsiu. "Open-Source Automated Segmentation of Neuronal Structures in Corneal Confocal Microscopy Images of the Subbasal Nerve Plexus With Accuracy on Par With Human Segmentation". Cornea 42, nr 10 (7.07.2023): 1309–19. http://dx.doi.org/10.1097/ico.0000000000003319.
Pełny tekst źródłaMoëll, Mattias K., i Lloyd A. Donaldson. "COMPARISON OF SEGMENTATION METHODS FOR DIGITAL IMAGE ANALYSIS OF CONFOCAL MICROSCOPE IMAGES TO MEASURE TRACHEID CELL DIMENSIONS". IAWA Journal 22, nr 3 (2001): 267–88. http://dx.doi.org/10.1163/22941932-90000284.
Pełny tekst źródłaYu, Zechen, Zhongping Chen, Yang Yu, Haichen Zhu, Dan Tong i Yang Chen. "An automated ASPECTS method with atlas-based segmentation". Computer Methods and Programs in Biomedicine 210 (październik 2021): 106376. http://dx.doi.org/10.1016/j.cmpb.2021.106376.
Pełny tekst źródłaWeiwei, Xing, Wang Weiqiang, Bao Peng, Sun Liya i Tong Leiming. "A novel method for automated human behavior segmentation". Computer Animation and Virtual Worlds 27, nr 5 (12.04.2016): 501–14. http://dx.doi.org/10.1002/cav.1690.
Pełny tekst źródłaWan, Guo Chun, Meng Meng Li, He Xu, Wen Hao Kang, Jin Wen Rui i Mei Song Tong. "XFinger-Net: Pixel-Wise Segmentation Method for Partially Defective Fingerprint Based on Attention Gates and U-Net". Sensors 20, nr 16 (10.08.2020): 4473. http://dx.doi.org/10.3390/s20164473.
Pełny tekst źródłaWang, Yuliang, Tongda Lu, Xiaolai Li, Shuai Ren i Shusheng Bi. "Robust nanobubble and nanodroplet segmentation in atomic force microscope images using the spherical Hough transform". Beilstein Journal of Nanotechnology 8 (1.12.2017): 2572–82. http://dx.doi.org/10.3762/bjnano.8.257.
Pełny tekst źródłaMukondiwa, Daisy Thembelihle, YongTao Shi i Chao Gao. "A Prostate Boundary Localization and Edge Denoising Algorithm". East African Journal of Information Technology 7, nr 1 (30.04.2024): 108–20. http://dx.doi.org/10.37284/eajit.7.1.1900.
Pełny tekst źródłaIglesias-Rey, Sara, Felipe Antunes-Santos, Cathleen Hagemann, David Gómez-Cabrero, Humberto Bustince, Rickie Patani, Andrea Serio, Bernard De Baets i Carlos Lopez-Molina. "Unsupervised Cell Segmentation and Labelling in Neural Tissue Images". Applied Sciences 11, nr 9 (21.04.2021): 3733. http://dx.doi.org/10.3390/app11093733.
Pełny tekst źródłaArafati, Arghavan, Daisuke Morisawa, Michael R. Avendi, M. Reza Amini, Ramin A. Assadi, Hamid Jafarkhani i Arash Kheradvar. "Generalizable fully automated multi-label segmentation of four-chamber view echocardiograms based on deep convolutional adversarial networks". Journal of The Royal Society Interface 17, nr 169 (sierpień 2020): 20200267. http://dx.doi.org/10.1098/rsif.2020.0267.
Pełny tekst źródłaKazerooni, Anahita Fathi, Nastaran Khalili, Debanjan Haldar, Karthik Viswanathan, Ariana Familiar, Sina Bagheri, Hannah Anderson i in. "IMG-05. A MULTI-INSTITUTIONAL AND MULTI-HISTOLOGY PEDIATRIC-SPECIFIC BRAIN TUMOR SUBREGION SEGMENTATION TOOL: FACILITATING RAPNO-BASED ASSESSMENT OF TREATMENT RESPONSE". Neuro-Oncology 25, Supplement_1 (1.06.2023): i47. http://dx.doi.org/10.1093/neuonc/noad073.182.
Pełny tekst źródłaAgnihotri, Aditya. "An Efficient and Clinical-Oriented 3D Liver Segmentation Method". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, nr 2 (10.09.2019): 1015–21. http://dx.doi.org/10.17762/turcomat.v10i2.13584.
Pełny tekst źródłaQiu, Bingjiang, Jiapan Guo, Joep Kraeima, Haye Hendrik Glas, Weichuan Zhang, Ronald J. H. Borra, Max Johannes Hendrikus Witjes i Peter M. A. van Ooijen. "Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography". Journal of Personalized Medicine 11, nr 6 (31.05.2021): 492. http://dx.doi.org/10.3390/jpm11060492.
Pełny tekst źródłaKumar, S. Pramod, i Mrityunjaya V. Latte. "Fully Automated Segmentation of Lung Parenchyma Using Break and Repair Strategy". Journal of Intelligent Systems 28, nr 2 (24.04.2019): 275–89. http://dx.doi.org/10.1515/jisys-2017-0020.
Pełny tekst źródłaArsenescu, Tudor, Radu Chifor, Tiberiu Marita, Andrei Santoma, Andrei Lebovici, Daniel Duma, Vitalie Vacaras i Alexandru Florin Badea. "3D Ultrasound Reconstructions of the Carotid Artery and Thyroid Gland Using Artificial-Intelligence-Based Automatic Segmentation—Qualitative and Quantitative Evaluation of the Segmentation Results via Comparison with CT Angiography". Sensors 23, nr 5 (3.03.2023): 2806. http://dx.doi.org/10.3390/s23052806.
Pełny tekst źródłaChen, Junjie, Qian Su, Yunbin Niu, Zongyu Zhang i Jinghao Liu. "A Handheld LiDAR-Based Semantic Automatic Segmentation Method for Complex Railroad Line Model Reconstruction". Remote Sensing 15, nr 18 (13.09.2023): 4504. http://dx.doi.org/10.3390/rs15184504.
Pełny tekst źródłaP, Mathumetha, Sivakumar Rajagopal, Shailly Vaidya i Basim Alhadidi. "Automated Detection of Pneumothorax Using Frontal Chest X-rays". ECS Transactions 107, nr 1 (24.04.2022): 861–72. http://dx.doi.org/10.1149/10701.0861ecst.
Pełny tekst źródłaMihelic, Samuel A., William A. Sikora, Ahmed M. Hassan, Michael R. Williamson, Theresa A. Jones i Andrew K. Dunn. "Segmentation-Less, Automated, Vascular Vectorization". PLOS Computational Biology 17, nr 10 (8.10.2021): e1009451. http://dx.doi.org/10.1371/journal.pcbi.1009451.
Pełny tekst źródłaDury, Richard, Rob Dineen, Anbarasu Lourdusamy i Richard Grundy. "Semi-automated medulloblastoma segmentation and influence of molecular subgroup on segmentation quality". Neuro-Oncology 21, Supplement_4 (październik 2019): iv14. http://dx.doi.org/10.1093/neuonc/noz167.060.
Pełny tekst źródłaYe, Yaojiang, Zixin Luo, Zhengxuan Qiu, Kangyang Cao, Bingsheng Huang, Lei Deng, Weijing Zhang i in. "Radiomics Prediction of Muscle Invasion in Bladder Cancer Using Semi-Automatic Lesion Segmentation of MRI Compared with Manual Segmentation". Bioengineering 10, nr 12 (25.11.2023): 1355. http://dx.doi.org/10.3390/bioengineering10121355.
Pełny tekst źródłaChen, Yen Sheng, Chung Hua Chen, Yuh Ming Chang i Chun Chih Chang. "Comparing Level Set Method and Canny Algorithm for Edge Detection to Tongue Diagnosis in Traditional Chinese Medicine". Applied Mechanics and Materials 236-237 (listopad 2012): 783–86. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.783.
Pełny tekst źródłaMeiburger, Kristen M., Massimo Salvi, Giulia Rotunno, Wolfgang Drexler i Mengyang Liu. "Automatic Segmentation and Classification Methods Using Optical Coherence Tomography Angiography (OCTA): A Review and Handbook". Applied Sciences 11, nr 20 (18.10.2021): 9734. http://dx.doi.org/10.3390/app11209734.
Pełny tekst źródłaYe, Guochang, i Mehmet Kaya. "Automated Cell Foreground–Background Segmentation with Phase-Contrast Microscopy Images: An Alternative to Machine Learning Segmentation Methods with Small-Scale Data". Bioengineering 9, nr 2 (18.02.2022): 81. http://dx.doi.org/10.3390/bioengineering9020081.
Pełny tekst źródłaAbdullah, Bassem A., Akmal A. Younis i Nigel M. John. "Multi-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIs". Open Biomedical Engineering Journal 6, nr 1 (9.05.2012): 56–72. http://dx.doi.org/10.2174/1874120701206010056.
Pełny tekst źródłaPaing, May Phu, Supan Tungjitkusolmun, Toan Huy Bui, Sarinporn Visitsattapongse i Chuchart Pintavirooj. "Automated Segmentation of Infarct Lesions in T1-Weighted MRI Scans Using Variational Mode Decomposition and Deep Learning". Sensors 21, nr 6 (10.03.2021): 1952. http://dx.doi.org/10.3390/s21061952.
Pełny tekst źródłaGuo, Fan, Xin Zhao, Beiji Zou i Yixiong Liang. "Automatic Retinal Image Registration Using Blood Vessel Segmentation and SIFT Feature". International Journal of Pattern Recognition and Artificial Intelligence 31, nr 11 (11.04.2017): 1757006. http://dx.doi.org/10.1142/s0218001417570063.
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