المؤلفون: Ethery Ramirez-Robles, Oleg Starostenko, Vicente Alarcon-Aquino

المصدر: PeerJ Computer Science, Vol 10, p e2209 (2024)

مصطلحات موضوعية: Machine vision, Semantic image segmentation, Off-road autonomous driving, Navigation path planning, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://peerj.com/articles/cs-2209.pdf; https://peerj.com/articles/cs-2209/; https://doaj.org/toc/2376-5992

URL الوصول: https://doaj.org/article/8bc5af41190c46a9b151e8a2504437cd

المؤلفون: Mossina, Luca, Dalmau, Joseba, Andéol, Léo

المساهمون: IRT Saint Exupéry - Institut de Recherche Technologique, Institut de Mathématiques de Toulouse UMR5219 (IMT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), SNCF : Innovation & Recherche, SNCF, DEEL, ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019)

المصدر: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops ; https://hal.science/hal-04565173 ; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2024, Seattle, United States. pp.3574-3584

مصطلحات موضوعية: Conformal prediction, Uncertainty quantification, Semantic image segmentation, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

جغرافية الموضوع: Seattle, United States

Relation: hal-04565173; https://hal.science/hal-04565173; https://hal.science/hal-04565173/document; https://hal.science/hal-04565173/file/cosis_SAIAD_2024_HAL_version.pdf

الاتاحة: https://hal.science/hal-04565173
https://hal.science/hal-04565173/document
https://hal.science/hal-04565173/file/cosis_SAIAD_2024_HAL_version.pdf

المؤلفون: Vu, Minh Hoang, Norman, Gabriella, Nyholm, Tufve, Löfstedt, Tommy

المصدر: IEEE Transactions on Medical Imaging. 41(6):1320-1330

مصطلحات موضوعية: Adaptation models, Computational modeling, CT, Data models, Image segmentation, Incremental Learning, Medical Imaging, Missing Data, Predictive models, Semantic Image Segmentation, Task analysis, Training

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-191280
https://doi.org/10.1109/TMI.2021.3139161
https://umu.diva-portal.org/smash/get/diva2:1627285/FULLTEXT01.pdf

المؤلفون: Liang Song, Di Yun, Wei Ye, Jie Gao

المصدر: Materials, Vol 17, Iss 18, p 4658 (2024)

مصطلحات موضوعية: skid resistance, surface macrotexture, internal macrostructure, contact depth, semantic image segmentation, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85

Relation: https://www.mdpi.com/1996-1944/17/18/4658; https://doaj.org/toc/1996-1944; https://doaj.org/article/191f4cfe4a994a1bbe67820f8bb0214f

الاتاحة: https://doi.org/10.3390/ma17184658
https://doaj.org/article/191f4cfe4a994a1bbe67820f8bb0214f

المؤلفون: Philippi, Daniel

المساهمون: Castelli, Mauro, RUN

مصطلحات موضوعية: Semantic image segmentation, Spectral domain optical coherence tomography (SD-OCT), Age-related macular degeneration (AMD), Vision Transformer (ViT), Convolutional neuronal networks (CNN), Segmentação de imagem semântica, Rafia de coerência óptica do domínio espectral (SD-OCT), Degeneração macular relacionada com a idade (AMD), Transformador de visão (ViT), Redes neuronais convolucionais (CNN), Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação, Domínio/Área Científica::Ciências Médicas::Ciências da Saúde

وصف الملف: application/pdf

الاتاحة: http://hdl.handle.net/10362/148612

المؤلفون: Tian-fan Zhang, Zhe Li, Qi Yuan, You-ning Wang

المصدر: Alexandria Engineering Journal, Vol 61, Iss 12, Pp 12609-12622 (2022)

مصطلحات موضوعية: Semantic image segmentation, Sparse data, Image clustering, Space clustering, Reduction, Synthetic aperture radar (SAR) satellite images, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016822004252; https://doaj.org/toc/1110-0168

URL الوصول: https://doaj.org/article/d33943d64b4647f59ab9eb86af8bdf32

المؤلفون: Daniel Güllmar, Nina Jacobsen, Andreas Deistung, Dagmar Timmann, Stefan Ropele, Jürgen R. Reichenbach

المصدر: Zeitschrift für Medizinische Physik, Vol 32, Iss 3, Pp 346-360 (2022)

مصطلحات موضوعية: Sensitivity analysis, Semantic image segmentation, Convolutional neural network, Data augmentation, Medical physics. Medical radiology. Nuclear medicine, R895-920

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0939388921001094; https://doaj.org/toc/0939-3889

URL الوصول: https://doaj.org/article/8006fb2790ae4729936c880bc9dbc4f0

المؤلفون: Sáenz Gamboa, Jhon Jairo

Thesis Advisors: Gómez Adrian, Jon Ander, de la Iglesia Vayá, Maria de los Desamparados, Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació

مصطلحات موضوعية: Redes neuronales convolucionales, Aprendizaje profundo, Imágenes de resonancia magnética, Segmentación semántica de imágenes, Columna vertebral, Convolutional neural networks, Deep learning, Magnetic resonance imaging, Semantic image segmentation, Spinal column, LENGUAJES Y SISTEMAS INFORMATICOS, 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades

الاتاحة: http://hdl.handle.net/10251/207346

المؤلفون: Lingjuan Yu, Zhaoxin Zeng, Ao Liu, Xiaochun Xie, Haipeng Wang, Feng Xu, Wen Hong

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 930-943 (2022)

مصطلحات موضوعية: Lightweight complex-valued DeepLabv3+ (L-CV-DeepLabv3+), polarimteric synthetic aperture radar (SAR), segmentation performance, semantic image segmentation, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9669052/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/e8a35ef61b8e41f793cafc7aa686b247

المؤلفون: Kitsaphon Thitisiriwech, Teerapong Panboonyuen, Pittipol Kantavat, Yuji Iwahori, Boonserm Kijsirikul

المصدر: IEEE Access, Vol 10, Pp 59327-59349 (2022)

مصطلحات موضوعية: Object recognition, urbanscapes dataset, deep convolutional neural networks, semantic image segmentation, Thailand, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9779212/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/1ae5428e9c9e46fcbfe5dc51dacd586b

المؤلفون: Sáenz-Gamboa, Jhon Jairo, Doménech, Julio, Alonso-Manjarrés, Antonio, Gomez, J.A., de la Iglesia-Vayá, María

المساهمون: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica, Generalitat Valenciana, European Regional Development Fund, COMISION DE LAS COMUNIDADES EUROPEA, Centro de Investigación Príncipe Felipe, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana

مصطلحات موضوعية: Magnetic resonance images, Spine, Semantic image segmentation, Convolutional neural networks, Deep learning, Ensembles of classifiers, LENGUAJES Y SISTEMAS INFORMATICOS

Relation: Artificial Intelligence in Medicine; info:eu-repo/grantAgreement/COMISION DE LAS COMUNIDADES EUROPEA//825111//DEEP-LEARNING AND HPC TO BOOST BIOMEDICAL APPLICATIONS FOR HEALTH/; info:eu-repo/grantAgreement/GVA//ACIF%2F2018%2F285/; https://doi.org/10.1016/j.artmed.2023.102559; urn:issn:0933-3657; http://hdl.handle.net/10251/205342

الاتاحة: http://hdl.handle.net/10251/205342
https://doi.org/10.1016/j.artmed.2023.102559

المؤلفون: Sahin, Halil Mertkan, Miftahushudur, Tajul, Grieve, Bruce, Yin, Hujun

المصدر: Sahin , H M , Miftahushudur , T , Grieve , B & Yin , H 2023 , ' Segmentation of Weeds and Crops Using Multispectral Imaging and CRF-enhanced U-Net ' , Computers and Electronics in Agriculture . https://doi.org/10.1016/j.compag.2023.107956

مصطلحات موضوعية: Semantic image segmentation, deep learning, precision agriculture, weed -crop segmentation

Relation: https://research.manchester.ac.uk/en/publications/cfebadb2-6e3f-488c-8623-e0b513c40a80

الاتاحة: https://research.manchester.ac.uk/en/publications/cfebadb2-6e3f-488c-8623-e0b513c40a80
https://doi.org/10.1016/j.compag.2023.107956

المؤلفون: Anusooya, Govindarajan, Bharathiraja, Selvaraj, Mahdal, Miroslav, Sathyarajasekaran, Kamsundher, Elangovan, Muniyandy

مصطلحات موضوعية: semantic image segmentation, self-supervised wavelet-based attention network (SSW-AN), attention mechanisms, self-supervised attention block (SSAB), Wavelet transform

Relation: Sensors; https://doi.org/10.3390/s23052719; Sensors. 2023, vol. 23, issue 5, art. no. 2719.; http://hdl.handle.net/10084/151812; 000946942900001

الاتاحة: http://hdl.handle.net/10084/151812
https://doi.org/10.3390/s23052719

المؤلفون: Tejomay, Abhiroop, Ramachandra, Vikas

مصطلحات موضوعية: Data quality, Shapley, Artificial intelligence, machine learning, semantic image segmentation

Relation: https://doi.org/10.5281/zenodo.8298884; https://doi.org/10.5281/zenodo.8298885; oai:zenodo.org:8298885

الاتاحة: https://doi.org/10.5281/zenodo.8298885

المؤلفون: Manonmani Arunkumar, Vijayakumari Pushparaj

المصدر: IET Image Processing, Vol 14, Iss 11, Pp 2503-2511 (2020)

مصطلحات موضوعية: semantic image segmentation, object recognition, visually uniform regions, partitioned regions, pixel classification, segmented regions, Photography, TR1-1050, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-9659; https://doaj.org/toc/1751-9667

URL الوصول: https://doaj.org/article/7d7e9c969ec74717bb62d3744ca316b5

المؤلفون: Mehrun Nisa, Saeed Ahmad Buzdar, Khalil Khan, Muhammad Saeed Ahmad

المصدر: Symmetry; Volume 14; Issue 2; Pages: 383

مصطلحات موضوعية: liver disease classification, deep learning, semantic image segmentation

وصف الملف: application/pdf

Relation: Computer Science and Symmetry/Asymmetry; https://dx.doi.org/10.3390/sym14020383

الاتاحة: https://doi.org/10.3390/sym14020383

المؤلفون: Rotem Rousso, Neta Katz, Gull Sharon, Yehuda Glizerin, Eitan Kosman, Assaf Shuster

المصدر: Water; Volume 14; Issue 7; Pages: 1127

مصطلحات موضوعية: convolutional neural network, image filtering, pre-processing, oil spill detection, SAR imagery, semantic image segmentation, ensemble modeling, marine oil spill

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Oceans and Coastal Zones; https://dx.doi.org/10.3390/w14071127

الاتاحة: https://doi.org/10.3390/w14071127

المؤلفون: Xin Li, Xiangrong Wang, Jingyi Han, Danzi Wu, Qing Lin, Jiayi Zhou, Shujie Zhao

المصدر: Sustainability, Vol 14, Iss 12543, p 12543 (2022)

مصطلحات موضوعية: visual perception, semantic image segmentation, on-water landscape, river scale, landscape features, Guilin, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/14/19/12543; https://doaj.org/toc/2071-1050; https://doaj.org/article/44d9038ca4d94e8e9fd1335f89ce51ef

الاتاحة: https://doi.org/10.3390/su141912543
https://doaj.org/article/44d9038ca4d94e8e9fd1335f89ce51ef

المؤلفون: Sonja Wattendorf, Amir Hossein Tabatabaei Seyed, Patrick Fischer, Hans-Peter Hans-Peter, Wilbrand Martina, Wilbrand Jan-Falco, Keywan Sohrabi

المصدر: Current Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 338-340 (2020)

مصطلحات موضوعية: deep learning, semantic image segmentation, biomedical signals, cranial deformities, Medicine

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2364-5504

URL الوصول: https://doaj.org/article/b9dba7f26c364554a476066f6870b30c

المؤلفون: Romanuke Vadim

المصدر: Electrical, Control and Communication Engineering, Vol 15, Iss 2, Pp 54-61 (2019)

مصطلحات موضوعية: dataset complexity, multi-polygon object, semantic image segmentation, segmentation network architecture, toy dataset, two-class segmentation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2255-9159

URL الوصول: https://doaj.org/article/3f3c06173bce43eba5d2fed67d609af4