Artículos de revistas sobre el tema "Deep learning segmentation"
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Noori, Amani Y., Dr Shaimaa H. Shaker y Dr Raghad Abdulaali Azeez. "Semantic Segmentation of Urban Street Scenes Using Deep Learning". Webology 19, n.º 1 (20 de enero de 2022): 2294–306. http://dx.doi.org/10.14704/web/v19i1/web19156.
Texto completoAL-Oudat, Mohammad, Mohammad Azzeh, Hazem Qattous, Ahmad Altamimi y Saleh Alomari. "Image Segmentation based Deep Learning for Biliary Tree Diagnosis". Webology 19, n.º 1 (20 de enero de 2022): 1834–49. http://dx.doi.org/10.14704/web/v19i1/web19123.
Texto completoSri, S. Vinitha y S. P. Kavya. "Lung Segmentation Using Deep Learning". Asian Journal of Applied Science and Technology 05, n.º 02 (2021): 10–19. http://dx.doi.org/10.38177/ajast.2021.5202.
Texto completoVogt, Nina. "Neuron segmentation with deep learning". Nature Methods 16, n.º 6 (30 de mayo de 2019): 460. http://dx.doi.org/10.1038/s41592-019-0450-7.
Texto completoHyun-Cheol Park, Hyun-Cheol Park, Raman Ghimire Hyun-Cheol Park, Sahadev Poudel Raman Ghimire y Sang-Woong Lee Sahadev Poudel. "Deep Learning for Joint Classification and Segmentation of Histopathology Image". 網際網路技術學刊 23, n.º 4 (julio de 2022): 903–10. http://dx.doi.org/10.53106/160792642022072304025.
Texto completoWeishaupt, L. L., T. Vuong, A. Thibodeau-Antonacci, A. Garant, K. S. Singh, C. Miller, A. Martin y S. Enger. "A121 QUANTIFYING INTER-OBSERVER VARIABILITY IN THE SEGMENTATION OF RECTAL TUMORS IN ENDOSCOPY IMAGES AND ITS EFFECTS ON DEEP LEARNING". Journal of the Canadian Association of Gastroenterology 5, Supplement_1 (21 de febrero de 2022): 140–42. http://dx.doi.org/10.1093/jcag/gwab049.120.
Texto completoIwaszenko, Sebastian y Leokadia Róg. "Application of Deep Learning in Petrographic Coal Images Segmentation". Minerals 11, n.º 11 (13 de noviembre de 2021): 1265. http://dx.doi.org/10.3390/min11111265.
Texto completoYang, Zi, Mingli Chen, Mahdieh Kazemimoghadam, Lin Ma, Strahinja Stojadinovic, Robert Timmerman, Tu Dan, Zabi Wardak, Weiguo Lu y Xuejun Gu. "Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation". Physics in Medicine & Biology 67, n.º 2 (19 de enero de 2022): 025004. http://dx.doi.org/10.1088/1361-6560/ac4667.
Texto completoXue, Jie, Bao Wang, Yang Ming, Xuejun Liu, Zekun Jiang, Chengwei Wang, Xiyu Liu et al. "Deep learning–based detection and segmentation-assisted management of brain metastases". Neuro-Oncology 22, n.º 4 (23 de diciembre de 2019): 505–14. http://dx.doi.org/10.1093/neuonc/noz234.
Texto completoNapte, Kiran y Anurag Mahajan. "Deep Learning based Liver Segmentation: A Review". Revue d'Intelligence Artificielle 36, n.º 6 (31 de diciembre de 2022): 979–84. http://dx.doi.org/10.18280/ria.360620.
Texto completoHussain, Dildar, Rizwan Ali Naqvi, Woong-Kee Loh y Jooyoung Lee. "Deep Learning in DXA Image Segmentation". Computers, Materials & Continua 66, n.º 3 (2021): 2587–98. http://dx.doi.org/10.32604/cmc.2021.013031.
Texto completoAkiyama, T. S., J. Marcato Junior, W. N. Gonçalves, P. O. Bressan, A. Eltner, F. Binder y T. Singer. "DEEP LEARNING APPLIED TO WATER SEGMENTATION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (14 de agosto de 2020): 1189–93. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1189-2020.
Texto completoBenbrahim Ansari, Oussama. "Geo-Marketing Segmentation with Deep Learning". Businesses 1, n.º 1 (16 de junio de 2021): 51–71. http://dx.doi.org/10.3390/businesses1010005.
Texto completoJunior, Gerivan Santos, Janderson Ferreira, Cristian Millán-Arias, Ramiro Daniel, Alberto Casado Junior y Bruno J. T. Fernandes. "Ceramic Cracks Segmentation with Deep Learning". Applied Sciences 11, n.º 13 (28 de junio de 2021): 6017. http://dx.doi.org/10.3390/app11136017.
Texto completoV., Pattabiraman y Harshit Singh. "Deep Learning based Brain Tumour Segmentation". WSEAS TRANSACTIONS ON COMPUTERS 19 (4 de enero de 2021): 234–41. http://dx.doi.org/10.37394/23205.2020.19.29.
Texto completoKurama, Vihar, Samhita Alla y Rohith Vishnu K. "Image Semantic Segmentation Using Deep Learning". International Journal of Image, Graphics and Signal Processing 10, n.º 12 (8 de diciembre de 2018): 1–10. http://dx.doi.org/10.5815/ijigsp.2018.12.01.
Texto completoSardar, Mousumi, Subhashis Banerjee y Sushmita Mitra. "Iris Segmentation Using Interactive Deep Learning". IEEE Access 8 (2020): 219322–30. http://dx.doi.org/10.1109/access.2020.3041519.
Texto completoPandian, Asha, Bala Gopi Sai Kumar, Venkata Revanth y Kanipakam Sai Kiran. "Brain Tumor Segmentation Using Deep Learning". Journal of Computational and Theoretical Nanoscience 17, n.º 8 (1 de agosto de 2020): 3648–52. http://dx.doi.org/10.1166/jctn.2020.9247.
Texto completoZhang, Xiaoqing. "Melanoma segmentation based on deep learning". Computer Assisted Surgery 22, sup1 (18 de octubre de 2017): 267–77. http://dx.doi.org/10.1080/24699322.2017.1389405.
Texto completoSingh, Abhineet, Hayden Kalke, Mark Loewen y Nilanjan Ray. "River Ice Segmentation With Deep Learning". IEEE Transactions on Geoscience and Remote Sensing 58, n.º 11 (noviembre de 2020): 7570–79. http://dx.doi.org/10.1109/tgrs.2020.2981082.
Texto completoPekala, M., N. Joshi, T. Y. Alvin Liu, N. M. Bressler, D. Cabrera DeBuc y P. Burlina. "Deep learning based retinal OCT segmentation". Computers in Biology and Medicine 114 (noviembre de 2019): 103445. http://dx.doi.org/10.1016/j.compbiomed.2019.103445.
Texto completoSrinivas, Dr Kalyanapu y Reddy Dr.B.R.S. "Deep Learning based CNN Optimization Model for MR Braing Image Segmentation". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 11 (20 de noviembre de 2019): 213–20. http://dx.doi.org/10.5373/jardcs/v11i11/20193190.
Texto completoHu, Guangdong, Fengyuan Qian, Longgui Sha y Zilong Wei. "Application of Deep Learning Technology in Glioma". Journal of Healthcare Engineering 2022 (18 de febrero de 2022): 1–9. http://dx.doi.org/10.1155/2022/8507773.
Texto completoIyer, Aditi, Maria Thor, Ifeanyirochukwu Onochie, Jennifer Hesse, Kaveh Zakeri, Eve LoCastro, Jue Jiang et al. "Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT". Physics in Medicine & Biology 67, n.º 2 (17 de enero de 2022): 024001. http://dx.doi.org/10.1088/1361-6560/ac4000.
Texto completoHuang, Caiyun y Changhua Yin. "A coronary artery CTA segmentation approach based on deep learning". Journal of X-Ray Science and Technology 30, n.º 2 (15 de marzo de 2022): 245–59. http://dx.doi.org/10.3233/xst-211063.
Texto completoBuser, 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 y Bas H. M. van der Velden. "Radiologic versus Segmentation Measurements to Quantify Wilms Tumor Volume on MRI in Pediatric Patients". Cancers 15, n.º 7 (1 de abril de 2023): 2115. http://dx.doi.org/10.3390/cancers15072115.
Texto completoRehman, Aasia, Muheet Ahmed Butt y Majid Zaman. "Liver Lesion Segmentation Using Deep Learning Models". Acadlore Transactions on AI and Machine Learning 1, n.º 1 (20 de noviembre de 2022): 61–67. http://dx.doi.org/10.56578/ataiml010108.
Texto completoZhao, Yang. "Development of Semantic Segmentation Based on Deep Learning". Highlights in Science, Engineering and Technology 34 (28 de febrero de 2023): 281–88. http://dx.doi.org/10.54097/hset.v34i.5485.
Texto completoMoorthy, Jayashree y Usha Devi Gandhi. "A Survey on Medical Image Segmentation Based on Deep Learning Techniques". Big Data and Cognitive Computing 6, n.º 4 (17 de octubre de 2022): 117. http://dx.doi.org/10.3390/bdcc6040117.
Texto completoPécot, Thierry, Alexander Alekseyenko y Kristin Wallace. "A deep learning segmentation strategy that minimizes the amount of manually annotated images". F1000Research 10 (30 de marzo de 2021): 256. http://dx.doi.org/10.12688/f1000research.52026.1.
Texto completoPécot, Thierry, Alexander Alekseyenko y Kristin Wallace. "A deep learning segmentation strategy that minimizes the amount of manually annotated images". F1000Research 10 (17 de enero de 2022): 256. http://dx.doi.org/10.12688/f1000research.52026.2.
Texto completoAyad, Hayder, Ikhlas Watan Ghindawi y Mustafa Salam Kadhm. "Lung Segmentation Using Proposed Deep Learning Architecture". International Journal of Online and Biomedical Engineering (iJOE) 16, n.º 15 (15 de diciembre de 2020): 141. http://dx.doi.org/10.3991/ijoe.v16i15.17115.
Texto completoA. C., Anitha, R. ,. Dhanesha, Shrinivasa Naika C. L., Krishna A. N., Parinith S. Kumar y Parikshith P. Sharma. "Arecanut Bunch Segmentation Using Deep Learning Techniques". International Journal of Circuits, Systems and Signal Processing 16 (26 de julio de 2022): 1064–73. http://dx.doi.org/10.46300/9106.2022.16.129.
Texto completoKushwah, Chandra Pal y Kuruna Markam. "Semantic Segmentation of Satellite Images using Deep Learning". Regular issue 10, n.º 8 (30 de junio de 2021): 33–37. http://dx.doi.org/10.35940/ijitee.h9186.0610821.
Texto completoShu, Zhenyu, Chengwu Qi, Shiqing Xin, Chao Hu, Li Wang, Yu Zhang y Ligang Liu. "Unsupervised 3D shape segmentation and co-segmentation via deep learning". Computer Aided Geometric Design 43 (marzo de 2016): 39–52. http://dx.doi.org/10.1016/j.cagd.2016.02.015.
Texto completoM N, Rajesh y Chandrasekar B S. "Deep Learning-Based Semantic Segmentation Models for Prostate Gland Segmentation". International Journal of Electrical and Electronics Engineering 10, n.º 2 (28 de febrero de 2023): 157–71. http://dx.doi.org/10.14445/23488379/ijeee-v10i2p115.
Texto completoLiu, Xiangbin, Liping Song, Shuai Liu y Yudong Zhang. "A Review of Deep-Learning-Based Medical Image Segmentation Methods". Sustainability 13, n.º 3 (25 de enero de 2021): 1224. http://dx.doi.org/10.3390/su13031224.
Texto completoÇevik, Kerim Kürşat, Hasan Erdinç Koçer y Mustafa Boğa. "Deep Learning Based Egg Fertility Detection". Veterinary Sciences 9, n.º 10 (17 de octubre de 2022): 574. http://dx.doi.org/10.3390/vetsci9100574.
Texto completoLim, Chee Chin, Norhanis Ayunie Ahmad Khairudin, Siew Wen Loke, Aimi Salihah Abdul Nasir, Yen Fook Chong y Zeehaida Mohamed. "Comparison of Human Intestinal Parasite Ova Segmentation Using Machine Learning and Deep Learning Techniques". Applied Sciences 12, n.º 15 (27 de julio de 2022): 7542. http://dx.doi.org/10.3390/app12157542.
Texto completoKim, Yong-Woon, Yung-Cheol Byun y Addapalli V. N. Krishna. "Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models". Entropy 23, n.º 2 (5 de febrero de 2021): 197. http://dx.doi.org/10.3390/e23020197.
Texto completoMauricaite, Radvile, Ella Mi, Jiarong Chen, Andrew Ho, Lillie Pakzad-Shahabi y Matthew Williams. "Fully automated deep learning system for detecting sarcopenia on brain MRI in glioblastoma". Neuro-Oncology 23, Supplement_4 (1 de octubre de 2021): iv13. http://dx.doi.org/10.1093/neuonc/noab195.031.
Texto completoTrojahn, Tiago Henrique y Rudinei Goularte. "Temporal video scene segmentation using deep-learning". Multimedia Tools and Applications 80, n.º 12 (8 de febrero de 2021): 17487–513. http://dx.doi.org/10.1007/s11042-020-10450-2.
Texto completoLattisi, Tiziano, Davide Farina y Marco Ronchetti. "Semantic Segmentation of Text Using Deep Learning". Computing and Informatics 41, n.º 1 (2022): 78–97. http://dx.doi.org/10.31577/cai_2022_1_78.
Texto completoAnagnostis, Athanasios, Aristotelis C. Tagarakis, Dimitrios Kateris, Vasileios Moysiadis, Claus Grøn Sørensen, Simon Pearson y Dionysis Bochtis. "Orchard Mapping with Deep Learning Semantic Segmentation". Sensors 21, n.º 11 (31 de mayo de 2021): 3813. http://dx.doi.org/10.3390/s21113813.
Texto completoSolanki, Abhishek, Rajan Kumar Singh y Brinsley Demeneze. "Aerial pictures semantic segmentation applying deep learning". International Journal Of Trendy Research In Engineering And Technology 05, n.º 01 (2021): 42–48. http://dx.doi.org/10.54473/ijtret.2021.5107.
Texto completoInik, Özkan y Erkan Ülker. "Optimization of deep learning based segmentation method". Soft Computing 26, n.º 7 (2 de marzo de 2022): 3329–44. http://dx.doi.org/10.1007/s00500-021-06711-3.
Texto completoJung, Sunguk, Hyeonbeom Heo, Sangheon Park, Sung-Uk Jung y Kyungjae Lee. "Benchmarking Deep Learning Models for Instance Segmentation". Applied Sciences 12, n.º 17 (3 de septiembre de 2022): 8856. http://dx.doi.org/10.3390/app12178856.
Texto completoZheng, Ke y Hasan Abdullah Hasan Naji. "Road Scene Segmentation Based on Deep Learning". IEEE Access 8 (2020): 140964–71. http://dx.doi.org/10.1109/access.2020.3009782.
Texto completoSuprunenko, V. V. "Ore particles segmentation using deep learning methods". Journal of Physics: Conference Series 1679 (noviembre de 2020): 042089. http://dx.doi.org/10.1088/1742-6596/1679/4/042089.
Texto completoXiangfu Zhang, 张祥甫, 刘健 Jian Liu, 石章松 Zhangsong Shi, 吴中红 Zhonghong Wu y 王智 Zhi Wang. "Review of Deep Learning-Based Semantic Segmentation". Laser & Optoelectronics Progress 56, n.º 15 (2019): 150003. http://dx.doi.org/10.3788/lop56.150003.
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