Статті в журналах з теми "U-NET CNN"
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Sariturk, Batuhan, and Dursun Zafer Seker. "A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images." Sensors 22, no. 19 (October 8, 2022): 7624. http://dx.doi.org/10.3390/s22197624.
Повний текст джерелаChoi, Keong-Hun, and Jong-Eun Ha. "Edge Detection based-on U-Net using Edge Classification CNN." Journal of Institute of Control, Robotics and Systems 25, no. 8 (August 31, 2019): 684–89. http://dx.doi.org/10.5302/j.icros.2019.19.0119.
Повний текст джерелаDi Benedetto, Alessandro, Margherita Fiani, and Lucas Matias Gujski. "U-Net-Based CNN Architecture for Road Crack Segmentation." Infrastructures 8, no. 5 (May 6, 2023): 90. http://dx.doi.org/10.3390/infrastructures8050090.
Повний текст джерелаDjohar, Muhammad Awaludin, Anita Desiani, Dewi Lestari Dwi Putri, Des Alwine Zayanti, Ali Amran, Irmeilyana Irmeilyana, and Novi Rustiana Dewi. "Segmentasi Citra Hati Menggunakan Metode Convolutional Neural Network dengan Arsitektur U-Net." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 6, no. 1 (July 23, 2022): 221–34. http://dx.doi.org/10.31289/jite.v6i1.6751.
Повний текст джерелаMiron, Casian, Laura Ioana Grigoras, Radu Ciucu, and Vasile Manta. "Eye Image Segmentation Method Based on the Modified U-Net CNN Architecture." Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section 67, no. 2 (June 1, 2021): 41–52. http://dx.doi.org/10.2478/bipie-2021-0010.
Повний текст джерелаSariturk, Batuhan, Damla Kumbasar, and Dursun Zafer Seker. "Comparative Analysis of Different CNN Models for Building Segmentation from Satellite and UAV Images." Photogrammetric Engineering & Remote Sensing 89, no. 2 (February 1, 2023): 97–105. http://dx.doi.org/10.14358/pers.22-00084r2.
Повний текст джерелаErdem, Firat, Nuri Erkin Ocer, Dilek Kucuk Matci, Gordana Kaplan, and Ugur Avdan. "Apricot Tree Detection from UAV-Images Using Mask R-CNN and U-Net." Photogrammetric Engineering & Remote Sensing 89, no. 2 (February 1, 2023): 89–96. http://dx.doi.org/10.14358/pers.22-00086r2.
Повний текст джерелаK.Narasimha Rao, Kesani Prudhvidhar Reddy, Gopavarapu Sai Satya Sreekar, and Gade Gopinath Reddy. "Retinal blood vessels segmentation using CNN algorithm." international journal of engineering technology and management sciences 7, no. 3 (2023): 499–504. http://dx.doi.org/10.46647/ijetms.2023.v07i03.70.
Повний текст джерелаLutsenko, V. S., and A. E. Shukhman. "SEGMENTATION OF MEDICAL IMAGES BY CONVOLUTIONAL NEURAL NETWORKS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 216 (June 2022): 40–50. http://dx.doi.org/10.14489/vkit.2022.06.pp.040-050.
Повний текст джерелаYounisse, Remah, Rawan Ghnemat, and Jaafer Al Saraireh. "Fine-tuning U-net for medical image segmentation based on activation function, optimizer and pooling layer." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 5 (October 1, 2023): 5406. http://dx.doi.org/10.11591/ijece.v13i5.pp5406-5417.
Повний текст джерелаMukkapati, Naveen, and M. S. Anbarasi. "Brain Tumor Classification Based on Enhanced CNN Model." Revue d'Intelligence Artificielle 36, no. 1 (February 28, 2022): 125–30. http://dx.doi.org/10.18280/ria.360114.
Повний текст джерелаOhura, Norihiko, Ryota Mitsuno, Masanobu Sakisaka, Yuta Terabe, Yuki Morishige, Atsushi Uchiyama, Takumi Okoshi, Iizaka Shinji, and Akihiko Takushima. "Convolutional neural networks for wound detection: the role of artificial intelligence in wound care." Journal of Wound Care 28, Sup10 (October 1, 2019): S13—S24. http://dx.doi.org/10.12968/jowc.2019.28.sup10.s13.
Повний текст джерелаTong, Xiaozhong, Bei Sun, Junyu Wei, Zhen Zuo, and Shaojing Su. "EAAU-Net: Enhanced Asymmetric Attention U-Net for Infrared Small Target Detection." Remote Sensing 13, no. 16 (August 12, 2021): 3200. http://dx.doi.org/10.3390/rs13163200.
Повний текст джерелаLiu, Ziqian, Wenbing Wang, Qing Ma, Xianming Liu, and Junjun Jiang. "Rethinking 3D-CNN in Hyperspectral Image Super-Resolution." Remote Sensing 15, no. 10 (May 15, 2023): 2574. http://dx.doi.org/10.3390/rs15102574.
Повний текст джерелаJwaid, Wasan M., Zainab Shaker Matar Al-Husseini, and Ahmad H. Sabry. "Development of brain tumor segmentation of magnetic resonance imaging (MRI) using U-Net deep learning." Eastern-European Journal of Enterprise Technologies 4, no. 9(112) (August 31, 2021): 23–31. http://dx.doi.org/10.15587/1729-4061.2021.238957.
Повний текст джерелаKonovalenko, Ihor, Pavlo Maruschak, Janette Brezinová, Olegas Prentkovskis, and Jakub Brezina. "Research of U-Net-Based CNN Architectures for Metal Surface Defect Detection." Machines 10, no. 5 (April 29, 2022): 327. http://dx.doi.org/10.3390/machines10050327.
Повний текст джерелаTemenos, Anastasios, Nikos Temenos, Anastasios Doulamis, and Nikolaos Doulamis. "On the Exploration of Automatic Building Extraction from RGB Satellite Images Using Deep Learning Architectures Based on U-Net." Technologies 10, no. 1 (January 29, 2022): 19. http://dx.doi.org/10.3390/technologies10010019.
Повний текст джерелаFathipoor, H., R. Shah-Hosseini, and H. Arefi. "CROP AND WEED SEGMENTATION ON GROUND-BASED IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORK." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 13, 2023): 195–200. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-195-2023.
Повний текст джерелаWang, An, Ren Togo, Takahiro Ogawa, and Miki Haseyama. "Defect Detection of Subway Tunnels Using Advanced U-Net Network." Sensors 22, no. 6 (March 17, 2022): 2330. http://dx.doi.org/10.3390/s22062330.
Повний текст джерелаMeng, Yongan, Hailei Lan, Yuqian Hu, Zailiang Chen, Pingbo Ouyang, and Jing Luo. "Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia." Journal of Diabetes Research 2022 (February 26, 2022): 1–8. http://dx.doi.org/10.1155/2022/4612554.
Повний текст джерелаGunawan, Rudy, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, and Rifai Chai. "Image Recovery from Synthetic Noise Artifacts in CT Scans Using Modified U-Net." Sensors 22, no. 18 (September 16, 2022): 7031. http://dx.doi.org/10.3390/s22187031.
Повний текст джерелаМ. Ж. Қалдарова, А. С. Аканова та Н. М. Кашкимбаева. "АУЫЛШАРУАШЫЛЫҚ ЖЕРЛЕРІНІҢ ЕГІС АЛҚАПТАРЫН СЕГМЕНТТЕУДЕ НЕЙРОНДЫҚ ЖЕЛІНІҢ U-NET АРХИТЕКТУРАСЫНЫҢ ҚОЛДАНЫЛУЫ". Bulletin of Toraighyrov University. Energetics series, № 4.2022 (30 грудня 2022): 198–211. http://dx.doi.org/10.48081/kysd9304.
Повний текст джерелаHoffman, Jay P., Timothy F. Rahmes, Anthony J. Wimmers, and Wayne F. Feltz. "The Application of a Convolutional Neural Network for the Detection of Contrails in Satellite Imagery." Remote Sensing 15, no. 11 (May 31, 2023): 2854. http://dx.doi.org/10.3390/rs15112854.
Повний текст джерелаViedma, Ignacio A., David Alonso-Caneiro, Scott A. Read, and Michael J. Collins. "OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN." Sensors 22, no. 5 (March 4, 2022): 2016. http://dx.doi.org/10.3390/s22052016.
Повний текст джерелаChan, Huang-Tian, and Chi-Ching Chang. "Decryption of Deterministic Phase-Encoded Digital Holography Using Convolutional Neural Networks." Photonics 10, no. 6 (May 25, 2023): 612. http://dx.doi.org/10.3390/photonics10060612.
Повний текст джерелаGhulam, Rehana, Sammar Fatima, Tariq Ali, Nazir Ahmad Zafar, Abdullah A. Asiri, Hassan A. Alshamrani, Samar M. Alqhtani, and Khlood M. Mehdar. "A U-Net-Based CNN Model for Detection and Segmentation of Brain Tumor." Computers, Materials & Continua 74, no. 1 (2023): 1333–49. http://dx.doi.org/10.32604/cmc.2023.031695.
Повний текст джерелаChen, Dong, Fan Hu, P. Takis Mathiopoulos, Zhenxin Zhang, and Jiju Peethambaran. "MC-UNet: Martian Crater Segmentation at Semantic and Instance Levels Using U-Net-Based Convolutional Neural Network." Remote Sensing 15, no. 1 (January 2, 2023): 266. http://dx.doi.org/10.3390/rs15010266.
Повний текст джерелаUrase, Yasuyo, Mizuho Nishio, Yoshiko Ueno, Atsushi K. Kono, Keitaro Sofue, Tomonori Kanda, Takaki Maeda, Munenobu Nogami, Masatoshi Hori, and Takamichi Murakami. "Simulation Study of Low-Dose Sparse-Sampling CT with Deep Learning-Based Reconstruction: Usefulness for Evaluation of Ovarian Cancer Metastasis." Applied Sciences 10, no. 13 (June 28, 2020): 4446. http://dx.doi.org/10.3390/app10134446.
Повний текст джерелаZhou, Zhengyin, Zhihui Fu, Juncheng Jia, and Jun Lv. "Rib Fracture Detection with Dual-Attention Enhanced U-Net." Computational and Mathematical Methods in Medicine 2022 (August 18, 2022): 1–13. http://dx.doi.org/10.1155/2022/8945423.
Повний текст джерелаHuang, Tinglong, Xuelan Zheng, Lisui He, and Zhiliang Chen. "Diagnostic Value of Deep Learning-Based CT Feature for Severe Pulmonary Infection." Journal of Healthcare Engineering 2021 (November 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/5359084.
Повний текст джерелаChen, Panpan, Chengcheng Liu, Ting Feng, Yong Li, and Dean Ta. "Improved Photoacoustic Imaging of Numerical Bone Model Based on Attention Block U-Net Deep Learning Network." Applied Sciences 10, no. 22 (November 15, 2020): 8089. http://dx.doi.org/10.3390/app10228089.
Повний текст джерелаXu, Cong, Changqing Yu, and Shanwen Zhang. "Lightweight Multi-Scale Dilated U-Net for Crop Disease Leaf Image Segmentation." Electronics 11, no. 23 (November 29, 2022): 3947. http://dx.doi.org/10.3390/electronics11233947.
Повний текст джерелаZhang, Jiawei, Xin Zhao, Tao Jiang, Md Mamunur Rahaman, Yudong Yao, Yu-Hao Lin, Jinghua Zhang, Ao Pan, Marcin Grzegorzek, and Chen Li. "An Application of Pixel Interval Down-Sampling (PID) for Dense Tiny Microorganism Counting on Environmental Microorganism Images." Applied Sciences 12, no. 14 (July 21, 2022): 7314. http://dx.doi.org/10.3390/app12147314.
Повний текст джерелаAsiri, Abdullah A., Ahmad Shaf, Tariq Ali, Muhammad Aamir, Muhammad Irfan, Saeed Alqahtani, Khlood M. Mehdar, et al. "Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications." Life 13, no. 7 (June 26, 2023): 1449. http://dx.doi.org/10.3390/life13071449.
Повний текст джерелаTaher, Fatma, and Neema Prakash. "Automatic cerebrovascular segmentation methods-a review." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 3 (September 1, 2021): 576. http://dx.doi.org/10.11591/ijai.v10.i3.pp576-583.
Повний текст джерелаAffane, Abir, Adrian Kucharski, Paul Chapuis, Samuel Freydier, Marie-Ange Lebre, Antoine Vacavant, and Anna Fabijańska. "Segmentation of Liver Anatomy by Combining 3D U-Net Approaches." Applied Sciences 11, no. 11 (May 26, 2021): 4895. http://dx.doi.org/10.3390/app11114895.
Повний текст джерелаDu, Getao, Xu Cao, Jimin Liang, Xueli Chen, and Yonghua Zhan. "Medical Image Segmentation based on U-Net: A Review." Journal of Imaging Science and Technology 64, no. 2 (March 1, 2020): 20508–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.2.020508.
Повний текст джерелаAdoui, Mahmoudi, Larhmam, and Benjelloun. "MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures." Computers 8, no. 3 (June 29, 2019): 52. http://dx.doi.org/10.3390/computers8030052.
Повний текст джерелаEl Asri, Smail Ait, Samir El Adib, Ismail Negabi, and Naoufal Raissouni. "A Modular System Based on U-Net for Automatic Building Extraction from very high-resolution satellite images." E3S Web of Conferences 351 (2022): 01071. http://dx.doi.org/10.1051/e3sconf/202235101071.
Повний текст джерелаBanu, Syeda Furruka, Md Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Domenec Puig, and Hatem A. Raswan. "AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation." Applied Sciences 11, no. 21 (October 28, 2021): 10132. http://dx.doi.org/10.3390/app112110132.
Повний текст джерелаNasser, Soraya, Moulkheir Naoui, Ghalem Belalem, and Saïd Mahmoudi. "Semantic Segmentation of Hippocampal Subregions With U-Net Architecture." International Journal of E-Health and Medical Communications 12, no. 6 (November 2021): 1–20. http://dx.doi.org/10.4018/ijehmc.20211101.oa4.
Повний текст джерелаFeiger, Bradley, Erick Lorenzana-Saldivar, Colin Cooke, Roarke Horstmeyer, Muath Bishawi, Julie Doberne, G. Chad Hughes, David Ranney, Soraya Voigt, and Amanda Randles. "Evaluation of U-Net Based Architectures for Automatic Aortic Dissection Segmentation." ACM Transactions on Computing for Healthcare 3, no. 1 (January 31, 2022): 1–16. http://dx.doi.org/10.1145/3472302.
Повний текст джерелаLee, Su Hyun, JiHwan Lee, Kyung-Soo Oh, Jong Pil Yoon, Anna Seo, YoungJin Jeong, and Seok Won Chung. "Automated 3-dimensional MRI segmentation for the posterosuperior rotator cuff tear lesion using deep learning algorithm." PLOS ONE 18, no. 5 (May 18, 2023): e0284111. http://dx.doi.org/10.1371/journal.pone.0284111.
Повний текст джерелаQuenum, Jerome, Iryna V. Zenyuk, and Daniela Ushizima. "Lithium Metal Battery Quality Control via Transformer–CNN Segmentation." Journal of Imaging 9, no. 6 (May 31, 2023): 111. http://dx.doi.org/10.3390/jimaging9060111.
Повний текст джерелаShah. Md. Nazmul Arefin, Abu Shahed, Shah Mohd. Ishtiaque Ahammed Khan Ishti, Mst Marium Akter, and Nusrat Jahan. "Deep learning approach for detecting and localizing brain tumor from magnetic resonance imaging images." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (March 1, 2023): 1729. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1729-1737.
Повний текст джерелаRan, Si, Jianli Ding, Bohua Liu, Xiangyu Ge, and Guolin Ma. "Multi-U-Net: Residual Module under Multisensory Field and Attention Mechanism Based Optimized U-Net for VHR Image Semantic Segmentation." Sensors 21, no. 5 (March 5, 2021): 1794. http://dx.doi.org/10.3390/s21051794.
Повний текст джерелаYeung, Michael, Evis Sala, Carola-Bibiane Schönlieb, and Leonardo Rundo. "Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy." Computers in Biology and Medicine 137 (October 2021): 104815. http://dx.doi.org/10.1016/j.compbiomed.2021.104815.
Повний текст джерелаBezmaternykh, P. V., D. A. Ilin, and D. P. Nikolaev. "U-Net-bin: hacking the document image binarization contest." Computer Optics 43, no. 5 (October 2019): 825–32. http://dx.doi.org/10.18287/2412-6179-2019-43-5-825-832.
Повний текст джерелаPang, Shuyang, Xuewen Xiao, Yuao Cui, Shangwei Mao, Xin Cao, Hongsheng Jia, Hao Wang, Fenghua Tong, and Xiaohui Zhang. "GCN-Unet: A Computer Vision Method with Application to Industrial Granularity Segmentation." Mobile Information Systems 2022 (August 25, 2022): 1–9. http://dx.doi.org/10.1155/2022/1466261.
Повний текст джерелаBayrakdar, Ibrahim S., Kaan Orhan, Özer Çelik, Elif Bilgir, Hande Sağlam, Fatma Akkoca Kaplan, Sinem Atay Görür, Alper Odabaş, Ahmet Faruk Aslan, and Ingrid Różyło-Kalinowska. "A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs." BioMed Research International 2022 (January 15, 2022): 1–7. http://dx.doi.org/10.1155/2022/7035367.
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