Výsledky vyhledávání - encoder‐decoder architecture variants~

An Empirical Analysis of Encoder-Decoder (U-Net) Variants for Medical Image Segmentation

Autoři: Kamiri, Jackson Wambugu, Geoffrey Mariga Oirere, Aaron Mogeni

Zdroj: International Journal of Scientific Research in Computer Science and Engineering; Vol. 13 No. 1 (2025): IJSRCSE February Edition; 26-31 ; 2320-7639

Témata: Medical Image Segmentation, U-Net variants, Brain MRI, Breast Ultrasound, ResU-Net, Encoder-Decoder, Image processing, Computer Vision

Popis souboru: application/pdf

Relation: https://ijsrcse.isroset.org/index.php/j/article/view/610/610; https://ijsrcse.isroset.org/index.php/j/article/view/610

Dostupnost: https://ijsrcse.isroset.org/index.php/j/article/view/610
https://doi.org/10.26438/ijsrcse.v13i1.610

CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans.

Autoři: Mahmud, Tanvir Rahman, Md Fattah, Shaikh a další

Zdroj: IEEE Transactions on Artificial Intelligence. 2(3)

Témata: Artificial intelligence (AI), biomedical imaging, computer aided analysis, image segmentation, neural networks

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/51g6b93g
https://escholarship.org/content/qt51g6b93g/qt51g6b93g.pdf

Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images.

Autoři: Derakhshandeh S Mahloojifar A

Zdroj: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 May 15. Date of Electronic Publication: 2025 May 15.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Efficient segmentation and classification of the tumor using improved encoder-decoder architecture in brain MRI images

Autoři: Ingle, Archana Roja, Mani Sankhe, Manoj a další

Zdroj: International journal of electrical and computer engineering systems; ISSN 1847-7003 (Online); ISSN 1847-6996 (Print); ISSN-L 1847-6996; Volume 13; Issue 8

Témata: UNet, ResNet, ResNext, Deep Learning, Transfer Learning, Convolutional Neural Network, Brain tumor Segmentation, CNN, text, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://doi.org/10.32985/ijeces.13.8.4
https://hrcak.srce.hr/285428
https://hrcak.srce.hr/file/413164
info:eu-repo/semantics/altIdentifier/doi/10.32985/ijeces.13.8.4

BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture

Autoři: Xiang, Tiange Zhang, Chaoyi Liu, Dongnan a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2007.00243

Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation

Autoři: Silva, João Lourenço Menezes, Miguel Nobre Rodrigues, Tiago a další

Témata: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2106.11447

CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans

Autoři: Mahmud, Tanvir Rahman, Md Awsafur Fattah, Shaikh Anowarul a další

Témata: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2012.01473

Towards Practical Neural Image Compression

Autoři: Yang, Fei

Thesis Advisors: Herranz, Luis, Mozerov, Mikhail G., Cheng, Yongmei

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Compressió d'imatges neuronals, Compresión de imágenes neuronales, Neuronal image compression, Compressió de videos neuronals, Compresión de videos neuronales, Neural video compression, Aprenentatge profund, Aprendizaje profundo, Deep learning, Ciències Experimentals

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/675178

FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration

Autoři: Xu, Kai-Tuo Xie, Feng-Long Tang, Xu a další

Témata: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound, text

URL: http://arxiv.org/abs/2501.14350

PMED-Net: Pyramid Based Multi-Scale Encoder-Decoder Network for Medical Image Segmentation

Autoři: Abbas Khan Hyongsuk Kim Leon Chua

Zdroj: IEEE Access, Vol 9, Pp 55988-55998 (2021)

Témata: Convolutional neural networks, encoder-decoder architecture, medical image processing, semantic segmentation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9399071/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/9919cd03e7d0455f9bb6d367c08ee866

Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging

Autoři: Asim Zaman Haseeb Hassan Xueqiang Zeng a další

Zdroj: Frontiers in Neuroscience, Vol 18 (2024)

Témata: medical image analysis, brain lesion segmentation, adaptive feature extraction, attention mechanism, encoder-decoder architecture, computer-aided diagnosis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnins.2024.1363930/full; https://doaj.org/toc/1662-453X

Přístupová URL adresa: https://doaj.org/article/25c8d1842e5644808d16dfc43ffba1af

Enhanced U-Net architectures for accurate room impulse response generation via differential-phase learning

Autoři: Ignacio Martin-Salinas Gema Piñero Jose A. Belloch a další

Zdroj: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2025, Iss 1, Pp 1-15 (2025)

Témata: RIR, Deep learning, Signal processing, Gen AI, Acoustics. Sound, QC221-246, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1687-4722

Přístupová URL adresa: https://doaj.org/article/f4f33450ed6d4e03b7ab18b1bf3f0097

Efficient compression of encoder-decoder models for semantic segmentation using the separation index.

Autoři: Jamshidi M Kalhor A Vahabie AH

Zdroj: Scientific reports [Sci Rep] 2025 Jul 09; Vol. 15 (1), pp. 24639. Date of Electronic Publication: 2025 Jul 09.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Lung Disease Classification with Deep Learning Enhanced CNN Architecture in Chest X-Ray Imaging.

Autoři: Slimani FAA Bentourkia M

Zdroj: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Dec 01. Date of Electronic Publication: 2025 Dec 01.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Metamodeling elastic wave propagation using a mixed factorized Fourier encoder–decoder for online laser-ultrasound testing in additive manufacturing

Autoři: Allaire, Frédéric Gatti, Filippo Miorelli, Roberto a další

Přispěvatelé: Allaire, Frédéric Gatti, Filippo Miorelli, Roberto a další

Zdroj: ISSN: 0952-1976 ; Engineering Applications of Artificial Intelligence ; https://hal.science/hal-05011076 ; Engineering Applications of Artificial Intelligence, 2025, 160, pp.111893. ⟨10.1016/j.engappai.2025.111893⟩.

Témata: neural network, anisotropy, elastic waves, guided waves, simulation, modeling, non-destructive testing, Laser-ultrasound, Surface acoustic waves, Laser, Polycrystalline media, Additive manufacturing, Deep learning, Surrogate modeling, [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]

Dostupnost: https://hal.science/hal-05011076
https://hal.science/hal-05011076v1/document
https://hal.science/hal-05011076v1/file/article_mffed_columbo.pdf
https://doi.org/10.1016/j.engappai.2025.111893

Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems

Autoři: Dutta, Subhabrata Gautam, Tanya Chakrabarti, Soumen a další

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2109.15142

Data-Driven Damage Quantification of Floating Offshore Wind Turbine Platforms Based on Multi-Scale Encoder–Decoder with Self-Attention Mechanism

Autoři: Musa Bashir Zifei Xu Jin Wang a další

Zdroj: Journal of Marine Science and Engineering, Vol 10, Iss 12, p 1830 (2022)

Témata: data-driven technique, damage quantification, floating offshore wind turbine, FOWT predictive maintenance, Convolutional Neural Network, multi-scale information fusion, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2077-1312/10/12/1830; https://doaj.org/toc/2077-1312

Přístupová URL adresa: https://doaj.org/article/3619e72a26494294980bfafd526e0e84

SODAWideNet -- Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training

Autoři: Dulam, Rohit Venkata Sai Kambhamettu, Chandra

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2311.04828

Enhancing signal-to-noise ratio in real-time LED-based photoacoustic imaging: A comparative study of CNN-based deep learning architectures

Autoři: Avijit Paul Srivalleesha Mallidi

Zdroj: Photoacoustics, Vol 41, Iss , Pp 100674- (2025)

Témata: LED based photoacoustic imaging, Deep-learning, Convolutional neural networks, U-Net architectures, Signal-to-noise ratio, Physics, QC1-999, Acoustics. Sound, QC221-246, Optics. Light, QC350-467

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213597924000910; https://doaj.org/toc/2213-5979

Přístupová URL adresa: https://doaj.org/article/eb416691eb1141f9ba8f268f48f9d3e1

Employing Sequence-to-Sequence Stacked LSTM Autoencoder Architecture to Forecast Indian Weather.

Autoři: Maharatha, Arpita Das, Ratnakar Mishra, Jibitesh a další

Zdroj: Procedia Computer Science. 2024, Vol. 235, p2258-2268. 11p.

Témata: Atmospheric temperature, Meteorological research, Prediction models, Weather forecasting

Geografický termín: Odisha (India)