Výsledky vyhľadávania - "3D encoder–decoder architecture"

A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR

Autori: Mahmoud Abdallah Xiaoli Ding Samaa Younis a ďalší

Zdroj: Science of Remote Sensing, Vol 11, Iss , Pp 100206- (2025)

Predmety: MT-InSAR, Deformation retrieval, Lightweight, 3D encoder-decoder architecture, Separable CNN, Physical geography, GB3-5030, Science

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666017225000124; https://doaj.org/toc/2666-0172

Prístupová URL adresa: https://doaj.org/article/7ce5e628f5fa40d1a5f2babbb8155481

MS-trust: a transformer model with causal-global dual attention for enhanced MRI-based multiple sclerosis and myelitis detection.

Autori: Alzahrani, Salha M.

Zdroj: Complex & Intelligent Systems; Aug2025, Vol. 11 Issue 8, p1-42, 42p

New multiple sclerosis lesion segmentation and detection using pre-activation U-Net.

Autori: Ashtari, Pooya Barile, Berardino Van Huffel, Sabine a ďalší

Zdroj: Frontiers in Neuroscience; 10/26/2022, Vol. 16, p1-9, 9p

Predmety: MULTIPLE sclerosis, DATA augmentation, THREE-dimensional imaging

Semantic Segmentation of Brain Tumors Using a Local–Global Attention Model.

Autori: Xing, Shuli Lai, Zhenwei Zhu, Junxiong a ďalší

Zdroj: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p5981, 17p

Predmety: CONVOLUTIONAL neural networks, TRANSFORMER models, DEEP learning, BRAIN tumors, FEATURE extraction

UGC-Net: Uncertainty-Guided Cost Volume Optimization with Contextual Features for Satellite Stereo Matching.

Autori: Jeong, Wonje Park, Soon-Yong

Zdroj: Remote Sensing; May2025, Vol. 17 Issue 10, p1772, 23p

Predmety: CONVOLUTIONAL neural networks, REMOTE-sensing images, EXTRACTION techniques, STEREO image, FEATURE extraction, AMBIGUITY

Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges.

Autori: Liz-López, Helena de Sojo-Hernández, Áurea Anguera D'Antonio-Maceiras, Sergio a ďalší

Zdroj: Cognitive Computation; Apr2025, Vol. 17 Issue 2, p1-46, 46p

Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation

Autori: Ballestar, Laura Mora Vilaplana, Veronica

Témy: 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/2009.12188

Exploring high-order correlation for hyperspectral image denoising with hypergraph convolutional network.

Autori: Zhang, Jun Tan, Yaoxin Wei, Xiaohui

Zdroj: Signal Processing. Feb2025, Vol. 227, pN.PAG-N.PAG. 1p.

Predmety: *IMAGE denoising

Deep Learning on 3D Semantic Segmentation: A Detailed Review.

Autori: Betsas, Thodoris Georgopoulos, Andreas Doulamis, Anastasios a ďalší

Zdroj: Remote Sensing; Jan2025, Vol. 17 Issue 2, p298, 58p

Predmety: POINT cloud, TAXONOMY, CLASSIFICATION, INSTITUTIONAL repositories, DEEP learning

CloudTran++: Improved Cloud Removal from Multi-Temporal Satellite Images Using Axial Transformer Networks.

Autori: Christopoulos, Dionysis Ntouskos, Valsamis Karantzalos, Konstantinos

Zdroj: Remote Sensing; Jan2025, Vol. 17 Issue 1, p86, 22p

Predmety: REMOTE-sensing images, IMAGE reconstruction, AUTOREGRESSIVE models, OPTICAL images, IMAGE quality analysis

Multi-level pyramid fusion for efficient stereo matching.

Autori: Zhu, Jiaqi Li, Bin Zhao, Xinhua

Zdroj: Multimedia Systems; Oct2024, Vol. 30 Issue 5, p1-13, 13p

Open-set 3D semantic instance maps for vision language navigation – O3D-SIM.

Autori: Nanwani, Laksh Gupta, Kumaraditya Mathur, Aditya a ďalší

Zdroj: Advanced Robotics; Oct2024, Vol. 38 Issue 19/20, p1378-1391, 14p

Predmety: GEOGRAPHICAL perception, FEATURE extraction, NATURAL languages, POINT cloud, TASK performance

LGDNet: local feature coupling global representations network for pulmonary nodules detection.

Autori: Chi, Jianning Zhao, Jin Wang, Siqi a ďalší

Zdroj: Medical & Biological Engineering & Computing; Jul2024, Vol. 62 Issue 7, p1991-2004, 14p

Predmety: CONVOLUTIONAL neural networks, COMPUTER-aided diagnosis, PULMONARY nodules, COMPUTED tomography, TRANSFORMER models, LUNGS

CARS 2024—Computer Assisted Radiology and Surgery Proceedings of the 38th International Congress and Exhibition Barcelona, Spain, June 18–21, 2024.

Zdroj: International Journal of Computer Assisted Radiology & Surgery; 2024 Suppl 1, Vol. 19, p1-153, 153p

Assessing the Accuracy and Reproducibility of PARIETAL: A Deep Learning Brain Extraction Algorithm.

Autori: Valverde, Sergi Coll, Llucia Valencia, Liliana a ďalší

Zdroj: Journal of Magnetic Resonance Imaging; Jun2024, Vol. 59 Issue 6, p1991-2000, 10p

Predmety: DEEP learning, ALGORITHMS, MAGNETIC resonance imaging, MAGNETIC resonance, SCANNING systems

Korporácia: SIEMENS AG, KONINKLIJKE Philips NV

CAGAN: Classifier‐augmented generative adversarial networks for weakly‐supervised COVID‐19 lung lesion localisation.

Autori: Li, Xiaojie Fei, Xin Yan, Zhe a ďalší

Zdroj: IET Computer Vision (Wiley-Blackwell); Feb2024, Vol. 18 Issue 1, p1-14, 14p

Predmety: GENERATIVE adversarial networks, LUNG diseases, LUNGS, COVID-19, COVID-19 testing, PHYSICIANS

Generating Land Cover Maps in Semi-arid Regions Based on a 3D Semantic Segmentation Architecture Using Multi-temporal Sentinel-2 Satellite Images: A Case Study of Ludhiana District in Punjab, India.

Autori: Buttar, Preetpal Kaur Sachan, Manoj Kumar

Zdroj: Journal of the Indian Society of Remote Sensing; Feb2024, Vol. 52 Issue 2, p383-398, 16p

MP3DU: Multi-Projection 3D U-Net for Automatic Segmentation of Temporal Bone Structures in CT images ; MP3DU: CT 영상 내 자동적 측두골 구조물 영상분할을 위한 다중 투영 3차원 U-Net

Autori: 전보성 이원진 Bo Soung Jeoun a ďalší

Prispievatelia: 전보성 이원진 Bo Soung Jeoun a ďalší

Predmety: 3DSegmentationofthetemporalbonestructures, CTimage, DeepLearningNetwork, Multi-projection, 660.6

Popis súboru: ix, 38

Relation: 000000172501; https://hdl.handle.net/10371/187818; https://dcollection.snu.ac.kr/common/orgView/000000172501; 000000000048▲000000000055▲000000172501▲

Dostupnosť: https://hdl.handle.net/10371/187818
https://dcollection.snu.ac.kr/common/orgView/000000172501

Artificial Intelligence in the Image-Guided Care of Atrial Fibrillation.

Autori: Lyu, Yiheng Bennamoun, Mohammed Sharif, Naeha a ďalší

Zdroj: Life (2075-1729); Sep2023, Vol. 13 Issue 9, p1870, 30p

Predmety: ATRIAL fibrillation, HEART conduction system, ARTIFICIAL intelligence, MAGNETIC resonance imaging, IMAGE analysis

Part-and-whole: A novel framework for deformable medical image registration.

Autori: Zhang, Jinshuo Liu, Zhaoyang Ma, Yingjun a ďalší

Zdroj: Applied Intelligence; Jul2023, Vol. 53 Issue 13, p16630-16647, 18p

Predmety: IMAGE registration, DIAGNOSTIC imaging, MAGNETIC resonance imaging, CONVOLUTIONAL neural networks, IMAGE analysis, THREE-dimensional imaging