Suchergebnisse - "fully‐convolutional encoder‐decoder network"

A novel deep fully convolutional encoder-decoder network and similarity analysis for English education text event clustering analysis

Autoren: Zhenping Jing

Quelle: Computer Science and Information Systems. 21:1783-1800

Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network

Autoren: Jakov Ivan S. Dumbrique Reynan B. Hernandez Juan Miguel L. Cruz et al.

Quelle: Front Radiol
Frontiers in Radiology, Vol 4 (2024)

Schlagwörter: Medical physics. Medical radiology. Nuclear medicine, 03 medical and health sciences, 0302 clinical medicine, pneumothorax, lung pathology detection, R895-920, 0202 electrical engineering, electronic engineering, information engineering, deep learning, convolutional neural network, 02 engineering and technology, Radiology, automatic image segmentation, Vision Transformer

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39722784
https://doaj.org/article/64362faa1800493fb60c9bb309090038

Optimizing Fully Convolutional Encoder-Decoder Network for Segmentation of Diabetic Eye Disease

Autoren: Abdul Qadir Khan Guangmin Sun Yu Li et al.

Quelle: Computers, Materials & Continua. 77:2481-2504

A Fully Convolutional Encoder-Decoder Network for Moving Object Segmentation

Autoren: Anil Turker Ender M. Eksioglu

Quelle: 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). :1-6

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Very deep fully convolutional encoder–decoder network based on wavelet transform for art image fusion in cloud computing environment

Autoren: Tong Chen Juan Yang

Quelle: Evolving Systems. 14:281-293

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Denoising Raman spectra using fully convolutional encoder–decoder network

Autoren: Irem Loc Ibrahim Kecoglu Mehmet Burcin Unlu et al.

Quelle: Journal of Raman Spectroscopy. 53:1445-1452

Schlagwörter: 01 natural sciences, 0105 earth and related environmental sciences

Automatic Building Extraction From High-Resolution Aerial Imagery via Fully Convolutional Encoder-Decoder Network With Non-Local Block

Autoren: Shengsheng Wang Xiaowei Hou Xin Zhao

Quelle: IEEE Access, Vol 8, Pp 7313-7322 (2020)

Schlagwörter: 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, non-local method, Deep learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, fully convolution network, building extraction, 15. Life on land, semantic segmentation, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/08950134.pdf
https://doaj.org/article/a481e9b2e886482082433e197569cc5b
https://dblp.uni-trier.de/db/journals/access/access8.html#WangHZ20
https://ieeexplore.ieee.org/document/8950134/
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202002239879751140

LF-SegNet: A Fully Convolutional Encoder–Decoder Network for Segmenting Lung Fields from Chest Radiographs

Autoren: Sanjeev Sofat Rahul Hooda Ajay Mittal

Quelle: Wireless Personal Communications. 101:511-529

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/article/10.1007/s11277-018-5702-9
https://dblp.uni-trier.de/db/journals/wpc/wpc101.html#MittalHS18
https://doi.org/10.1007/s11277-018-5702-9

Raman Signal Denoising using Fully Convolutional Encoder Decoder Network

Autoren: Irem Loc Ibrahim Kecoglu Mehmet Burcin Unlu et al.

Schlagwörter: 01 natural sciences, 0104 chemical sciences

Zugangs-URL: https://www.biorxiv.org/content/biorxiv/early/2022/01/09/2022.01.07.475347.full.pdf

Image-Based Autonomous Concrete Crack Semantic Segmentation Using the Deep Fully Convolutional Encoder-Decoder Network for Bridge Inspection

Autoren: Rundong Pu Guoqian Ren Haijiang Li et al.

Quelle: SSRN Electronic Journal.

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

Autoren: Brian Price Ming-Hsuan Yang Jimei Yang et al.

Quelle: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). :193-202

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/pdf/1603.04530
http://arxiv.org/abs/1603.04530

Autonomous Concrete Crack Semantic Segmentation Using Deep Fully Convolutional Encoder–Decoder Network in Concrete Structures Inspection

Autoren: Rundong Pu Guoqian Ren Haijiang Li et al.

Quelle: Buildings, Vol 12, Iss 11, p 2019 (2022)

Schlagwörter: deep learning, semantic segmentation, crack pattern, bridge inspection, deep convolutional neural network (DCNN), Building construction, TH1-9745

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2075-5309/12/11/2019; https://doaj.org/toc/2075-5309

Zugangs-URL: https://doaj.org/article/ce64d81d7ce54f5488789d5496bd6f2d

Inversion and identification of vertical track irregularities considering the differential subgrade settlement based on fully convolutional encoder-decoder network

Autoren: Mei Chen Shengyang Zhu Wanming Zhai et al.

Quelle: Construction and Building Materials. 367:130057

Schlagwörter: 0203 mechanical engineering, 02 engineering and technology, 0201 civil engineering

Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network

Autoren: Liu, Yahui Yao, Jian Li, Li et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1705.04456

Microseismic Signal Denoising and Separation Based on Fully Convolutional Encoder–Decoder Network

Autoren: Hang Zhang Chunchi Ma Veronica Pazzi et al.

Quelle: Applied Sciences, Vol 10, Iss 18, p 6621 (2020)

Schlagwörter: microseismic monitoring, deep learning, microseismic signal analysis, time–frequency domain, convolutional neural network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/10/18/6621; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/df65f8de07bd44a0b85e3171f7768549

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

Autoren: Yang, Jimei Price, Brian Cohen, Scott et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1603.04530

Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network

Autoren: M. M. Manjurul Islam Jong-Myon Kim

Quelle: Sensors, Vol 19, Iss 19, p 4251 (2019)

Schlagwörter: structural health monitoring, image processing, computer vision, deep learning, concrete structure crack detection, visual geometry group network, semantic segmentation, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/19/19/4251; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/bc5f8f31a1854c2c88c81de8de74fbf0

Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network.

Autoren: Dumbrique, Jakov Ivan S. Hernandez, Reynan B. Cruz, Juan Miguel L. et al.

Quelle: Frontiers in Radiology; 2024, p1-16, 16p

Pneumothorax Detection and Segmentation from Chest X-ray Radiographs Using a Patch-based Fully Convolutional Encoder-Decoder Network

Autoren: Dumbrique, Jakov Ivan S Hernandez, Reynan Cruz, Juan Miguel L et al.

Quelle: Mathematics Faculty Publications

Schlagwörter: automatic image segmentation, chest X-rays, convolutional neural network, deep learning, diagnostic radiology, lung pathology detection, pneumothorax, Vision Transformer, Computer Sciences, Data Science

Dateibeschreibung: application/pdf

Verfügbarkeit: https://archium.ateneo.edu/mathematics-faculty-pubs/304
https://archium.ateneo.edu/context/mathematics-faculty-pubs/article/1307/viewcontent/fradi_04_1424065.pdf

A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection

Autoren: Rizwan Ali A. Manikandan Rui Lei et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Schlagwörter: Skin cancer, Malignant melanoma, Sparrow search algorithm, Adaptive CNN, Dermoscopic images, Fully convolutional encoder–decoder network, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/5a5a0261eeff4d3abcd369e403b092d2