Suchergebnisse - encoder‐decoder architecture variants

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

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

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

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

Dateibeschreibung: application/pdf

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

Verfügbarkeit: 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.

Autoren: Mahmud, Tanvir Rahman, Md Fattah, Shaikh et al.

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

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

Dateibeschreibung: application/pdf

Zugangs-URL: 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.

Autoren: Derakhshandeh S Mahloojifar A

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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

Autoren: Ingle, Archana Roja, Mani Sankhe, Manoj et al.

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

Index Begriffe: 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

Autoren: Xiang, Tiange Zhang, Chaoyi Liu, Dongnan et al.

Index Begriffe: 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

Autoren: Silva, João Lourenço Menezes, Miguel Nobre Rodrigues, Tiago et al.

Index Begriffe: 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

Autoren: Mahmud, Tanvir Rahman, Md Awsafur Fattah, Shaikh Anowarul et al.

Index Begriffe: 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

Autoren: Yang, Fei

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

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/675178

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

Autoren: Xu, Kai-Tuo Xie, Feng-Long Tang, Xu et al.

Index Begriffe: 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

Autoren: Abbas Khan Hyongsuk Kim Leon Chua

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: 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

Autoren: Asim Zaman Haseeb Hassan Xueqiang Zeng et al.

Quelle: Frontiers in Neuroscience, Vol 18 (2024)

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/25c8d1842e5644808d16dfc43ffba1af

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

Autoren: Ignacio Martin-Salinas Gema Piñero Jose A. Belloch et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/f4f33450ed6d4e03b7ab18b1bf3f0097

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

Autoren: Jamshidi M Kalhor A Vahabie AH

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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.

Autoren: Slimani FAA Bentourkia M

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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

Autoren: Allaire, Frédéric Gatti, Filippo Miorelli, Roberto et al.

Weitere Verfasser: Allaire, Frédéric Gatti, Filippo Miorelli, Roberto et al.

Quelle: 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⟩.

Schlagwörter: 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]

Verfügbarkeit: 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

Autoren: Dutta, Subhabrata Gautam, Tanya Chakrabarti, Soumen et al.

Index Begriffe: 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

Autoren: Musa Bashir Zifei Xu Jin Wang et al.

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/3619e72a26494294980bfafd526e0e84

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

Autoren: Dulam, Rohit Venkata Sai Kambhamettu, Chandra

Index Begriffe: 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

Autoren: Avijit Paul Srivalleesha Mallidi

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/eb416691eb1141f9ba8f268f48f9d3e1

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

Autoren: Maharatha, Arpita Das, Ratnakar Mishra, Jibitesh et al.

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

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

Geografische Kategorien: Odisha (India)