Artykuły w czasopismach na temat „Ultrasound image segmentation”
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J. Hemalatha, R., Dr V. Vijaybaskar, A. Josephin Arockia Dhivya i . "Early detection of joint abnormalities from ultrasound images". International Journal of Engineering & Technology 7, nr 2.25 (3.05.2018): 105. http://dx.doi.org/10.14419/ijet.v7i2.25.16569.
Pełny tekst źródłaKwak, Deawon, Jiwoo Choi i Sungjin Lee. "Rethinking Breast Cancer Diagnosis through Deep Learning Based Image Recognition". Sensors 23, nr 4 (19.02.2023): 2307. http://dx.doi.org/10.3390/s23042307.
Pełny tekst źródłaBao, Junxiao, Cuilin Bei, Xiang Zheng i Jinli Wang. "Deep Learning Algorithm in Biomedical Engineering in Intelligent Automatic Processing and Analysis of Sports Images". Wireless Communications and Mobile Computing 2022 (30.07.2022): 1–10. http://dx.doi.org/10.1155/2022/3196491.
Pełny tekst źródłaSree, S. Jayanthi, i C. Vasanthanayaki. "Ultrasound Fetal Image Segmentation Techniques: A Review". Current Medical Imaging Formerly Current Medical Imaging Reviews 15, nr 1 (7.12.2018): 52–60. http://dx.doi.org/10.2174/1573405613666170622115527.
Pełny tekst źródłaShao, Liping, Zubang Zhou, Hongmei Wu, Jinrong Ni i Shulan Li. "Modeling of Hidden Markov in Ultrasound Image-Assisted Diagnosis". Journal of Healthcare Engineering 2021 (12.04.2021): 1–10. http://dx.doi.org/10.1155/2021/5597591.
Pełny tekst źródłaWu, Shibin, Shaode Yu, Ling Zhuang, Xinhua Wei, Mark Sak, Neb Duric, Jiani Hu i Yaoqin Xie. "Automatic Segmentation of Ultrasound Tomography Image". BioMed Research International 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/2059036.
Pełny tekst źródłaNoble, J. A., i D. Boukerroui. "Ultrasound image segmentation: a survey". IEEE Transactions on Medical Imaging 25, nr 8 (sierpień 2006): 987–1010. http://dx.doi.org/10.1109/tmi.2006.877092.
Pełny tekst źródłaSun, Jingmeng, i Yifei Liu. "Segmentation for Human Motion Injury Ultrasound Medical Images Using Deep Feature Fusion". Mathematical Problems in Engineering 2022 (29.08.2022): 1–9. http://dx.doi.org/10.1155/2022/4825720.
Pełny tekst źródłaSuri, Jasjit, Yujun Guo, Cara Coad, Tim Danielson, Idris Elbakri i Roman Janer. "Image Quality Assessment via Segmentation of Breast Lesion in X-ray and Ultrasound Phantom Images from Fischer's Full Field Digital Mammography and Ultrasound (FFDMUS) System". Technology in Cancer Research & Treatment 4, nr 1 (luty 2005): 83–92. http://dx.doi.org/10.1177/153303460500400111.
Pełny tekst źródłaCai, Lina, Qingkai Li, Junhua Zhang, Zhenghua Zhang, Rui Yang i Lun Zhang. "Ultrasound image segmentation based on Transformer and U-Net with joint loss". PeerJ Computer Science 9 (20.10.2023): e1638. http://dx.doi.org/10.7717/peerj-cs.1638.
Pełny tekst źródłaOrlando, Nathan, Igor Gyacskov, Derek J. Gillies, Fumin Guo, Cesare Romagnoli, David D’Souza, Derek W. Cool, Douglas A. Hoover i Aaron Fenster. "Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound". Physics in Medicine & Biology 67, nr 7 (29.03.2022): 074002. http://dx.doi.org/10.1088/1361-6560/ac5a93.
Pełny tekst źródłaSaeed, Jwan N. "A SURVEY OF ULTRASONOGRAPHY BREAST CANCER IMAGE SEGMENTATION TECHNIQUES". Academic Journal of Nawroz University 9, nr 1 (11.02.2020): 1. http://dx.doi.org/10.25007/ajnu.v9n1a523.
Pełny tekst źródłaZhang, Yingtao, Min Xian, Heng-Da Cheng, Bryar Shareef, Jianrui Ding, Fei Xu, Kuan Huang, Boyu Zhang, Chunping Ning i Ying Wang. "BUSIS: A Benchmark for Breast Ultrasound Image Segmentation". Healthcare 10, nr 4 (14.04.2022): 729. http://dx.doi.org/10.3390/healthcare10040729.
Pełny tekst źródłaDr. M. Renukadevi, S. Suganyadevi,. "SEGMENTATION OF KIDNEY STONE REGION IN ULTRA SOUND IMAGEBY USING REGION PARTITION AND MOUNTING SEGMENTATION ALGORITHM (RPM)". INFORMATION TECHNOLOGY IN INDUSTRY 9, nr 1 (5.03.2021): 512–18. http://dx.doi.org/10.17762/itii.v9i1.164.
Pełny tekst źródłaKhan, Muhammad Salim, Laiba Saqib, Zahir Shah, Haider Ali i Ahmad Alshehri. "Efficient Echocardiographic Image Segmentation". Mathematical Problems in Engineering 2022 (10.09.2022): 1–5. http://dx.doi.org/10.1155/2022/1754291.
Pełny tekst źródłaYang, Jing, Ping Tang, Jie Chen i Huaxiang Shen. "Application and Analysis of Imaging Characteristics of Four-Dimensional Ultrasound in the Diagnosis of Fetal Cleft Lip and Palate". Journal of Medical Imaging and Health Informatics 11, nr 1 (1.01.2021): 133–38. http://dx.doi.org/10.1166/jmihi.2021.3520.
Pełny tekst źródłaChandra De, Utpal, Madhabananda Das, Debashis Mishra i Debashis Mishra. "Threshold based brain tumor image segmentation". International Journal of Engineering & Technology 7, nr 3 (22.08.2018): 1801. http://dx.doi.org/10.14419/ijet.v7i3.12425.
Pełny tekst źródłaCarriere, Jay, Ron Sloboda, Nawaid Usmani i Mahdi Tavakoli. "Autonomous Prostate Segmentation in 2D B-Mode Ultrasound Images". Applied Sciences 12, nr 6 (15.03.2022): 2994. http://dx.doi.org/10.3390/app12062994.
Pełny tekst źródłaNoble, J. A. "Ultrasound image segmentation and tissue characterization". Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 224, nr 2 (17.08.2009): 307–16. http://dx.doi.org/10.1243/09544119jeim604.
Pełny tekst źródłaKrivanek, A., i M. Sonka. "Ovarian ultrasound image analysis: follicle segmentation". IEEE Transactions on Medical Imaging 17, nr 6 (1998): 935–44. http://dx.doi.org/10.1109/42.746626.
Pełny tekst źródłaArchip, Neculai, Robert Rohling, Peter Cooperberg i Hamid Tahmasebpour. "Ultrasound image segmentation using spectral clustering". Ultrasound in Medicine & Biology 31, nr 11 (listopad 2005): 1485–97. http://dx.doi.org/10.1016/j.ultrasmedbio.2005.07.005.
Pełny tekst źródłaHuang, Qinghua, Yaozhong Luo i Qiangzhi Zhang. "Breast ultrasound image segmentation: a survey". International Journal of Computer Assisted Radiology and Surgery 12, nr 3 (9.01.2017): 493–507. http://dx.doi.org/10.1007/s11548-016-1513-1.
Pełny tekst źródłaHarkey, 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 źródłaShen, Jiaqi, Fangfang Huang i Myers Ulrich. "Evaluation and Analysis of Cardiovascular Function in Intensive Care Unit Patients by Ultrasound Image Segmentation Based on Deep Learning". Journal of Medical Imaging and Health Informatics 10, nr 8 (1.08.2020): 1892–98. http://dx.doi.org/10.1166/jmihi.2020.3119.
Pełny tekst źródłaMuhammad, Muhammad, Diyar Zeebaree, Adnan Mohsin Abdulazeez Brifcani, Jwan Saeed i Dilovan Asaad Zebari. "A Review on Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images". Journal of Applied Science and Technology Trends 1, nr 3 (24.06.2020): 78–91. http://dx.doi.org/10.38094/2020jastt1328.
Pełny tekst źródłaMuhammad, Muhammad, Diyar Zeebaree, Adnan Mohsin Abdulazeez Brifcani, Jwan Saeed i Dilovan Asaad Zebari. "Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images: A Review". Journal of Applied Science and Technology Trends 1, nr 3 (24.06.2020): 78–91. http://dx.doi.org/10.38094/jastt20201328.
Pełny tekst źródłaMuhammad, Muhammad, Diyar Zeebaree, Adnan Mohsin Abdulazeez Brifcani, Jwan Saeed i Dilovan Asaad Zebari. "A Review on Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images". Journal of Applied Science and Technology Trends 1, nr 3 (24.06.2020): 78–91. http://dx.doi.org/10.38094/jastt1328.
Pełny tekst źródłaJeba Shiney, O., J. Amar Pratap Singh i Priestly Shan B. "EXTRACTION OF FETAL FEATURES FROM B MODE ULTRASONOGRAMS FOR EFFICIENT DIAGNOSIS OF DOWN SYNDROME IN FIRST AND SECOND TRIMESTER". Biomedical & Pharmacology Journal 12, nr 3 (30.09.2019): 1135–39. http://dx.doi.org/10.13005/bpj/1741.
Pełny tekst źródłaSheela, S. "Enhancer for ovarian cyst segmentation using adaptive thresholding technique". Indian Journal of Science and Technology 13, nr 39 (24.10.2020): 4142–50. http://dx.doi.org/10.17485/ijst/v13i39.1602.
Pełny tekst źródłaKhaledyan, Donya, Thomas J. Marini, Timothy M. Baran, Avice O’Connell i Kevin Parker. "Enhancing breast ultrasound segmentation through fine-tuning and optimization techniques: Sharp attention UNet". PLOS ONE 18, nr 12 (13.12.2023): e0289195. http://dx.doi.org/10.1371/journal.pone.0289195.
Pełny tekst źródłaMaolood, Ismail Yaqub, Yahya Eneid Abdulridha Al-Salhi i Songfeng Lu. "Thresholding for medical image segmentation for cancer using fuzzy entropy with level set algorithm". Open Medicine 13, nr 1 (8.09.2018): 374–83. http://dx.doi.org/10.1515/med-2018-0056.
Pełny tekst źródłaHolland, Lawrence, Sofia I. Hernandez Torres i Eric J. Snider. "Using AI Segmentation Models to Improve Foreign Body Detection and Triage from Ultrasound Images". Bioengineering 11, nr 2 (29.01.2024): 128. http://dx.doi.org/10.3390/bioengineering11020128.
Pełny tekst źródłaBargsten, Lennart, Silas Raschka i Alexander Schlaefer. "Capsule networks for segmentation of small intravascular ultrasound image datasets". International Journal of Computer Assisted Radiology and Surgery 16, nr 8 (14.06.2021): 1243–54. http://dx.doi.org/10.1007/s11548-021-02417-x.
Pełny tekst źródłaWang, Xinyu, Zhengqi Chang, Qingfang Zhang, Cheng Li, Fei Miao i Gang Gao. "Prostate Ultrasound Image Segmentation Based on DSU-Net". Biomedicines 11, nr 3 (21.02.2023): 646. http://dx.doi.org/10.3390/biomedicines11030646.
Pełny tekst źródłaBargsten, Lennart, Katharina A. Riedl, Tobias Wissel, Fabian J. Brunner, Klaus Schaefers, Michael Grass, Stefan Blankenberg, Moritz Seiffert i Alexander Schlaefer. "Deep learning for calcium segmentation in intravascular ultrasound images". Current Directions in Biomedical Engineering 7, nr 1 (1.08.2021): 96–100. http://dx.doi.org/10.1515/cdbme-2021-1021.
Pełny tekst źródłaPregitha R., Eveline, Vinod Kumar R. S. i Ebbie Selvakumar C. "FOE NET: Segmentation of Fetal in Ultrasound Images Using V-NET". International journal of electrical and computer engineering systems 14, nr 10 (12.12.2023): 1141–49. http://dx.doi.org/10.32985/ijeces.14.10.7.
Pełny tekst źródłaChang, Chenkai, Fei Qi, Chang Xu, Yiwei Shen i Qingwu Li. "A dual-modal dynamic contour-based method for cervical vascular ultrasound image instance segmentation". Mathematical Biosciences and Engineering 21, nr 1 (2023): 1038–57. http://dx.doi.org/10.3934/mbe.2024043.
Pełny tekst źródłaHuang, Kuan, Yingtao Zhang, Heng-Da Cheng i Ping Xing. "Trustworthy Breast Ultrasound Image Semantic Segmentation Based on Fuzzy Uncertainty Reduction". Healthcare 10, nr 12 (8.12.2022): 2480. http://dx.doi.org/10.3390/healthcare10122480.
Pełny tekst źródłaYun, Ting, Yi Qing Xu i Lin Cao. "Semi-Supervised Ultrasound Image Segmentation Based on Curvelet Features". Applied Mechanics and Materials 239-240 (grudzień 2012): 104–14. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.104.
Pełny tekst źródłaDarvish, Arman, i Shahryar Rahnamayan. "Optimal Parameter Setting of Active-Contours Using Differential Evolution and Expert-Segmented Sample Image". Journal of Advanced Computational Intelligence and Intelligent Informatics 16, nr 6 (20.09.2012): 677–86. http://dx.doi.org/10.20965/jaciii.2012.p0677.
Pełny tekst źródłaWang, Yanwei, Junbo Ye, Tianxiang Wang, Jingyu Liu, Hao Dong i Xin Qiao. "Breast Ultrasound Image Segmentation Algorithm Using Adaptive Region Growing and Variation Level Sets". Mathematical Problems in Engineering 2022 (3.10.2022): 1–15. http://dx.doi.org/10.1155/2022/1752390.
Pełny tekst źródłaAmine, Mrabti Mohamed, i Hamdi Mohamed Ali. "Intravascular Ultrasound Image Segmentation Using Morphological Snakes". International Journal of Image, Graphics and Signal Processing 4, nr 5 (18.06.2012): 54–60. http://dx.doi.org/10.5815/ijigsp.2012.05.07.
Pełny tekst źródłaWen, Qiaonong, Shuang Xu i Suiren Wan. "Ultrasound Image Segmentation Based on Energy Functional". Journal of Nanoscience and Nanotechnology 16, nr 9 (1.09.2016): 9359–70. http://dx.doi.org/10.1166/jnn.2016.12433.
Pełny tekst źródłaXian, Min, Yingtao Zhang, H. D. Cheng, Fei Xu, Boyu Zhang i Jianrui Ding. "Automatic breast ultrasound image segmentation: A survey". Pattern Recognition 79 (lipiec 2018): 340–55. http://dx.doi.org/10.1016/j.patcog.2018.02.012.
Pełny tekst źródłaZhao, Yuan, Mingjie Jiang, Wai Sum Chan i Bernard Chiu. "Development of a Three-Dimensional Carotid Ultrasound Image Segmentation Workflow for Improved Efficiency, Reproducibility and Accuracy in Measuring Vessel Wall and Plaque Volume and Thickness". Bioengineering 10, nr 10 (18.10.2023): 1217. http://dx.doi.org/10.3390/bioengineering10101217.
Pełny tekst źródłaFarook, I. Mohammed, S. Dhanalakshmi, V. Manikandan i C. Venkatesh. "Optimal Feature Selection for Carotid Artery Image Segmentation Using Evolutionary Computation". Applied Mechanics and Materials 626 (sierpień 2014): 79–86. http://dx.doi.org/10.4028/www.scientific.net/amm.626.79.
Pełny tekst źródłaDašić, Lazar, Nikola Radovanović, Tijana Šušteršič, Anđela Blagojević, Leo Benolić i Nenad Filipović. "Patch-based Convolutional Neural Network for Atherosclerotic Carotid Plaque Semantic Segmentation". Ipsi Transactions on Internet research 18, nr 1 (1.01.2022): 56–61. http://dx.doi.org/10.58245/ipsi.tir.22jr.10.
Pełny tekst źródłaLian, Jie, Mingyu Zhang, Na Jiang, Wei Bi i Xiaoqiu Dong. "Feature Extraction of Kidney Tissue Image Based on Ultrasound Image Segmentation". Journal of Healthcare Engineering 2021 (26.04.2021): 1–16. http://dx.doi.org/10.1155/2021/9915697.
Pełny tekst źródłaArdhianto, Peter, Jen-Yung Tsai, Chih-Yang Lin, Ben-Yi Liau, Yih-Kuen Jan, Veit Babak Hamun Akbari i Chi-Wen Lung. "A Review of the Challenges in Deep Learning for Skeletal and Smooth Muscle Ultrasound Images". Applied Sciences 11, nr 9 (28.04.2021): 4021. http://dx.doi.org/10.3390/app11094021.
Pełny tekst źródłaDilna, Kaitheri Thacharedath, i Duraisamy Jude Hemanth. "Novel image enhancement approaches for despeckling in ultrasound images for fibroid detection in human uterus". Open Computer Science 11, nr 1 (1.01.2021): 399–410. http://dx.doi.org/10.1515/comp-2020-0140.
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