Dual‐domain reconstruction network with V‐Net and K‐Net for fast MRI
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29400
Abstract: To introduce a dual‐domain reconstruction network with V‐Net and K‐Net for accurate MR image reconstruction from undersampled k‐space data. read more here.
Keywords: dual domain; reconstruction network; network net; domain reconstruction ... See more keywords
Wettability of net C, net W and net Y: a molecular dynamics simulation study
Sign Up to like & getrecommendations! Published in 2023 at "RSC Advances"
DOI: 10.1039/d2ra07811b
Abstract: The experimental synthesis of biphenylene, a two-dimensional carbon allotrope, theoretically predicted in 1997, took place in 2021. Biphenylene is also called net C. Two close relatives of this structure, known as net W and net… read more here.
Keywords: molecular dynamics; water molecules; net net; net ... See more keywords
Brain Tumour Segmentation Using S-Net and SA-Net
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DOI: 10.1109/access.2023.3257722
Abstract: Image segmentation is an application area of computer vision and digital image processing that partitions a digital image into multiple image regions or segments. This process involves extracting a set of contours from the input… read more here.
Keywords: image segmentation; brain; digital image; segmentation ... See more keywords
Scene Classification Based on Multiscale Convolutional Neural Network
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DOI: 10.1109/tgrs.2018.2848473
Abstract: With the large amount of high-spatial resolution images now available, scene classification aimed at obtaining high-level semantic concepts has drawn great attention. The convolutional neural networks (CNNs), which are typical deep learning methods, have widely… read more here.
Keywords: scene classification; classification; network; net net ... See more keywords
UIU-Net: U-Net in U-Net for Infrared Small Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3228497
Abstract: Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability limitations as the network depth increases. Furthermore, small objects in… read more here.
Keywords: infrared small; object detection; uiu net; net net ... See more keywords