Статті в журналах з теми "MRI IMAGE"
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Zhang, Huixian, Hailong Li, Jonathan R. Dillman, Nehal A. Parikh, and Lili He. "Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks." Diagnostics 12, no. 4 (March 26, 2022): 816. http://dx.doi.org/10.3390/diagnostics12040816.
Повний текст джерелаYang, Huan, Pengjiang Qian, and Chao Fan. "An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis." Computational and Mathematical Methods in Medicine 2020 (June 30, 2020): 1–10. http://dx.doi.org/10.1155/2020/2684851.
Повний текст джерелаDestyningtias, Budiani, Andi Kurniawan Nugroho, and Sri Heranurweni. "Analisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ." eLEKTRIKA 10, no. 1 (June 19, 2019): 15. http://dx.doi.org/10.26623/elektrika.v10i1.1105.
Повний текст джерелаBellam, Kiranmai, N. Krishnaraj, T. Jayasankar, N. B. Prakash, and G. R. Hemalakshmi. "Adaptive Multimodal Image Fusion with a Deep Pyramidal Residual Learning Network." Journal of Medical Imaging and Health Informatics 11, no. 8 (August 1, 2021): 2135–43. http://dx.doi.org/10.1166/jmihi.2021.3763.
Повний текст джерелаSchramm, Georg, and Claes Nøhr Ladefoged. "Metal artifact correction strategies in MRI-based attenuation correction in PET/MRI." BJR|Open 1, no. 1 (November 2019): 20190033. http://dx.doi.org/10.1259/bjro.20190033.
Повний текст джерела., Swapnali Matkar. "IMAGE SEGMENTATION METHODS FOR BRAIN MRI IMAGES." International Journal of Research in Engineering and Technology 04, no. 03 (March 25, 2015): 263–66. http://dx.doi.org/10.15623/ijret.2015.0403045.
Повний текст джерелаSingh, Ram, and Lakhwinder Kaur. "Noise-residue learning convolutional network model for magnetic resonance image enhancement." Journal of Physics: Conference Series 2089, no. 1 (November 1, 2021): 012029. http://dx.doi.org/10.1088/1742-6596/2089/1/012029.
Повний текст джерелаYan, Rong. "The Value of Convolutional-Neural-Network-Algorithm-Based Magnetic Resonance Imaging in the Diagnosis of Sports Knee Osteoarthropathy." Scientific Programming 2021 (July 2, 2021): 1–11. http://dx.doi.org/10.1155/2021/2803857.
Повний текст джерелаOdusami, Modupe, Rytis Maskeliūnas, and Robertas Damaševičius. "Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification." Brain Sciences 13, no. 7 (July 8, 2023): 1045. http://dx.doi.org/10.3390/brainsci13071045.
Повний текст джерелаWu, Hongliang, Guocheng Chen, Guibao Zhang, and Minghua Dai. "Application of Multimodal Fusion Technology in Image Analysis of Pretreatment Examination of Patients with Spinal Injury." Journal of Healthcare Engineering 2022 (April 12, 2022): 1–10. http://dx.doi.org/10.1155/2022/4326638.
Повний текст джерелаLiu, Huanyu, Jiaqi Liu, Junbao Li, Jeng-Shyang Pan, and Xiaqiong Yu. "DL-MRI: A Unified Framework of Deep Learning-Based MRI Super Resolution." Journal of Healthcare Engineering 2021 (April 9, 2021): 1–9. http://dx.doi.org/10.1155/2021/5594649.
Повний текст джерелаRajalakshmi, N., K. Narayanan, and P. Amudhavalli. "Wavelet-Based Weighted Median Filter For Image Denoising Of MRI Brain Images." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (April 1, 2018): 201. http://dx.doi.org/10.11591/ijeecs.v10.i1.pp201-206.
Повний текст джерелаXie, Xiaoxiao, Zhen Li, Lu Bai, Ri Zhou, Canfeng Li, Xiaocheng Jiang, Jianwei Zuo, and Yulong Qi. "Deep Learning-Based MRI in Diagnosis of Fracture of Tibial Plateau Combined with Meniscus Injury." Scientific Programming 2021 (December 20, 2021): 1–8. http://dx.doi.org/10.1155/2021/9935910.
Повний текст джерелаLiang, Yingbo, and Jian Fu. "Watershed Algorithm for Medical Image Segmentation Based on Morphology and Total Variation Model." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 05 (April 8, 2019): 1954019. http://dx.doi.org/10.1142/s0218001419540193.
Повний текст джерела., Gautam. "Super Resolution MRI Using Generative Adversarial Networks." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 31, 2021): 3896–905. http://dx.doi.org/10.22214/ijraset.2021.37237.
Повний текст джерелаDong, Jie, Yueying Zhang, Yun Meng, Tingxiao Yang, Wei Ma, and Huixin Wu. "Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks." Stem Cells International 2022 (October 17, 2022): 1–9. http://dx.doi.org/10.1155/2022/8619690.
Повний текст джерелаSun, Lifang, Xi Hu, Yutao Liu, and Hengyu Cai. "Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors." Contrast Media & Molecular Imaging 2021 (August 30, 2021): 1–8. http://dx.doi.org/10.1155/2021/1104611.
Повний текст джерелаMin, Liang, Yi Gu, Rui Xue, Yi Ren, and Bo Gao. "Composite MRI Task Construction from CT Images based on Deep Convolution Neural Network." Journal of Imaging Science and Technology 65, no. 3 (May 1, 2021): 30404–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2021.65.3.030404.
Повний текст джерелаLee, Giljae, Hwunjae Lee, and Gyehwan Jin. "Analysis of Fitting Degree of MRI and PET Images in Simultaneous MRPET Images by Machine Learning Neural Networks." ScholarGen Publishers 3, no. 1 (December 28, 2020): 43–61. http://dx.doi.org/10.31916/sjmi2020-01-05.
Повний текст джерелаVeress, Alexander I., Gregory Klein, and Grant T. Gullberg. "A Comparison of Hyperelastic Warping of PET Images with Tagged MRI for the Analysis of Cardiac Deformation." International Journal of Biomedical Imaging 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/728624.
Повний текст джерелаZhang, Weilan, Jingyi Zhu, Xiaohan Xu, and Guoguang Fan. "Synthetic MRI of the lumbar spine at 3.0 T: feasibility and image quality comparison with conventional MRI." Acta Radiologica 61, no. 4 (September 14, 2019): 461–70. http://dx.doi.org/10.1177/0284185119871670.
Повний текст джерелаWei, Hui, Baolong Lv, Feng Liu, Haojun Tang, Fangfang Gou, and Jia Wu. "A Tumor MRI Image Segmentation Framework Based on Class-Correlation Pattern Aggregation in Medical Decision-Making System." Mathematics 11, no. 5 (February 28, 2023): 1187. http://dx.doi.org/10.3390/math11051187.
Повний текст джерелаDjan, Igor, Borislava Petrovic, Marko Erak, Ivan Nikolic, and Silvija Lucic. "Radiotherapy treatment planning: Benefits of CT-MR image registration and fusion in tumor volume delineation." Vojnosanitetski pregled 70, no. 8 (2013): 735–39. http://dx.doi.org/10.2298/vsp110404001d.
Повний текст джерелаDavid S, Alex, Almas Begum, and Ravikumar S. "Content clustering for MRI Image compression using PPAM." International Journal of Engineering & Technology 7, no. 1.7 (February 5, 2018): 126. http://dx.doi.org/10.14419/ijet.v7i1.7.10631.
Повний текст джерелаShwetha, V., C. H. Renu Madhavi, and Kumar M. Nagendra. "Classification of Brain Tumors Using Hybridized Convolutional Neural Network in Brain MRI images." International Journal of Circuits, Systems and Signal Processing 16 (January 14, 2022): 561–70. http://dx.doi.org/10.46300/9106.2022.16.70.
Повний текст джерелаKumar, L. Ravi, K. G. S. Venkatesan, and S.Ravichandran. "Cloud-enabled Internet of Things Medical Image Processing Compressed Sensing Reconstruction." International Journal of Scientific Methods in Intelligence Engineering Networks 01, no. 04 (2023): 11–21. http://dx.doi.org/10.58599/ijsmien.2023.1402.
Повний текст джерелаTaime, Abderazzak, Aziz Khamjane, Jamal Riffi, and Hamid Tairi. "Improving the accuracy of the PET/MRI tridimensional multimodal rigid image registration based on the FATEMD." Radioelectronic and Computer Systems, no. 1 (March 7, 2023): 122–33. http://dx.doi.org/10.32620/reks.2023.1.10.
Повний текст джерелаDing, Wei Li, Feng Jiang, and Jia Qing Yan. "Automatic Segmentation of the Skull in MRI Sequences Using Level Set Method." Applied Mechanics and Materials 58-60 (June 2011): 2370–75. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2370.
Повний текст джерелаKortepeter, Mark G. "MRI: My Resonant Image." Annals of Internal Medicine 115, no. 9 (November 1, 1991): 749. http://dx.doi.org/10.7326/0003-4819-115-9-749.
Повний текст джерелаVitone, Louis, Abraham Joel, Andrew Masters, and Simon Lea. "Obturator Hernia – MRI Image." Indian Journal of Surgery 75, no. 4 (September 18, 2012): 322. http://dx.doi.org/10.1007/s12262-012-0735-x.
Повний текст джерелаHartshorne, M. F., L. K. Arata, B. B. Roberts, P. W. Wiest, and J. A. Sanders. "MRI/SPECT IMAGE FUSION." CLINICAL NUCLEAR MEDICINE 22, no. 3 (March 1997): 199. http://dx.doi.org/10.1097/00003072-199703000-00022.
Повний текст джерелаTaie, Shereen A., and Wafaa Ghonaim. "A new model for early diagnosis of alzheimer's disease based on BAT-SVM classifier." Bulletin of Electrical Engineering and Informatics 10, no. 2 (April 1, 2021): 759–66. http://dx.doi.org/10.11591/eei.v10i2.2714.
Повний текст джерелаAhmed, Ahmed Shihab, and Hussein Ali Salah. "The IoT and registration of MRI brain diagnosis based on genetic algorithm and convolutional neural network." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (January 1, 2022): 273. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp273-280.
Повний текст джерелаMurugachandravel, J., and S. Anand. "Enhancing MRI Brain Images Using Contourlet Transform and Adaptive Histogram Equalization." Journal of Medical Imaging and Health Informatics 11, no. 12 (December 1, 2021): 3024–27. http://dx.doi.org/10.1166/jmihi.2021.3906.
Повний текст джерелаYOUSIF, AHMED, Zaid Bin Omar, and Usman Ullah Sheikh. "A Survey on Multi-Scale Medical images Fusion Techniques: Brain Diseases." Journal of Biomedical Engineering and Medical Imaging 7, no. 1 (February 28, 2020): 18–38. http://dx.doi.org/10.14738/jbemi.71.7415.
Повний текст джерелаNandhagopal, N., C. Jaichander, and R. Ponniwalavan. "Image Classification using MRI Images in Brain Tumor." Asian Journal of Research in Social Sciences and Humanities 6, cs1 (2016): 422. http://dx.doi.org/10.5958/2249-7315.2016.00974.6.
Повний текст джерелаHata, Junichi. "3. Introduction to MRI Image Analysis Using ImageJ." Japanese Journal of Radiological Technology 75, no. 1 (2019): 89–94. http://dx.doi.org/10.6009/jjrt.2019_jsrt_75.1.89.
Повний текст джерелаJai Shankar, B., K. Murugan, A. Obulesu, S. Finney Daniel Shadrach, and R. Anitha. "MRI Image Segmentation Using Bat Optimization Algorithm with Fuzzy C Means (BOA-FCM) Clustering." Journal of Medical Imaging and Health Informatics 11, no. 3 (March 1, 2021): 661–66. http://dx.doi.org/10.1166/jmihi.2021.3365.
Повний текст джерелаFu, Qimao, Chuizhi Huang, Yan Chen, Nailong Jia, Jinghui Huang, and Changkun Lin. "Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis and Evaluation of Tibial Plateau Fracture Combined with Meniscus Injury." Scientific Programming 2021 (November 24, 2021): 1–9. http://dx.doi.org/10.1155/2021/6329020.
Повний текст джерелаPeni Agustin Tjahyaningtijas, Hapsari. "Brain Tumor Image Segmentation in MRI Image." IOP Conference Series: Materials Science and Engineering 336 (April 2018): 012012. http://dx.doi.org/10.1088/1757-899x/336/1/012012.
Повний текст джерелаBasir, Otman, and Kalifa Shantta. "Automatic MRI Brain Tumor Segmentation Techniques: A Survey." IRA-International Journal of Applied Sciences (ISSN 2455-4499) 16, no. 2 (April 20, 2021): 25. http://dx.doi.org/10.21013/jas.v16.n2.p2.
Повний текст джерелаJacobson, Geraldine, Gideon Zamba, Vicki Betts, M. Muruganandham, and Joni Buechler-Price. "Image-Based Treatment Planning of the Post-Lumpectomy Breast Utilizing CT and 3TMRI." International Journal of Breast Cancer 2011 (2011): 1–5. http://dx.doi.org/10.4061/2011/246265.
Повний текст джерелаMishra, Susmita, M. Prakash, A. Hafsa, and G. Anchana. "Anfis to Detect Brain Tumor Using MRI." International Journal of Engineering & Technology 7, no. 3.27 (August 15, 2018): 209. http://dx.doi.org/10.14419/ijet.v7i3.27.17763.
Повний текст джерелаLiu, Hujun, Hui Gao, and Fei Jia. "The Value of Convolutional Neural Network-Based Magnetic Resonance Imaging Image Segmentation Algorithm to Guide Targeted Controlled Release of Doxorubicin Nanopreparation." Contrast Media & Molecular Imaging 2021 (July 26, 2021): 1–10. http://dx.doi.org/10.1155/2021/9032017.
Повний текст джерелаHoffmann, Nico, Florian Weidner, Peter Urban, Tobias Meyer, Christian Schnabel, Yordan Radev, Gabriele Schackert, et al. "Framework for 2D-3D image fusion of infrared thermography with preoperative MRI." Biomedical Engineering / Biomedizinische Technik 62, no. 6 (November 27, 2017): 599–607. http://dx.doi.org/10.1515/bmt-2016-0075.
Повний текст джерелаAndotra, Abhinav Singh, and Sandeep Sharma. "MRI Image Enhancement: Optimized Filtering Mechanism for Achieving High Accuracy in Diagnose Process." Asian Journal of Computer Science and Technology 7, no. 1 (May 5, 2018): 66–70. http://dx.doi.org/10.51983/ajcst-2018.7.1.1827.
Повний текст джерелаTheocharis, Stefanos, Eleftherios P. Pappas, Ioannis Seimenis, Panagiotis Kouris, Dimitrios Dellios, Georgios Kollias, and Pantelis Karaiskos. "Geometric distortion assessment in 3T MR images used for treatment planning in cranial Stereotactic Radiosurgery and Radiotherapy." PLOS ONE 17, no. 5 (May 23, 2022): e0268925. http://dx.doi.org/10.1371/journal.pone.0268925.
Повний текст джерелаLiu, Yawen, Haijun Niu, Pengling Ren, Jialiang Ren, Xuan Wei, Wenjuan Liu, Heyu Ding, et al. "Generation of quantification maps and weighted images from synthetic magnetic resonance imaging using deep learning network." Physics in Medicine & Biology 67, no. 2 (January 17, 2022): 025002. http://dx.doi.org/10.1088/1361-6560/ac46dd.
Повний текст джерелаDe, Arunava, Anup Kumar Bhattacharjee, Chandan Kumar Chanda, and Bansibadan Maji. "Entropy Maximization, Stationary Wavelet and DCT Based Segmentation, De-Noising and Progressive Transmission Technique for Diseased MRI Images." Applied Mechanics and Materials 197 (September 2012): 229–34. http://dx.doi.org/10.4028/www.scientific.net/amm.197.229.
Повний текст джерелаPitkänen, Johanna, Juha Koikkalainen, Tuomas Nieminen, Ivan Marinkovic, Sami Curtze, Gerli Sibolt, Hanna Jokinen, et al. "Evaluating severity of white matter lesions from computed tomography images with convolutional neural network." Neuroradiology 62, no. 10 (April 13, 2020): 1257–63. http://dx.doi.org/10.1007/s00234-020-02410-2.
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