Articles with "deformable convolutional" as a keyword



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Fast Four-dimensional Cone-beam computed tomography reconstruction using deformable convolutional networks.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15806

Abstract: BACKGROUND Although 4D-CBCT is valuable to provide onboard image guidance for radiotherapy of moving targets, it requires a long acquisition time to achieve sufficient image quality for target localization. To improve the utility, it is… read more here.

Keywords: deformable convolutional; quality images; convolutional networks; feaco dcn ... See more keywords
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Image Super-Resolution Using Multi-Scale Space Feature and Deformable Convolutional Network

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3079519

Abstract: Recent researches on image super-resolution (SR) have achieved great progressing with the great development of convolutional neural networks (CNNs). However, existing CNNs usually adopt fixed filter structures and the convolutions just rely on the local… read more here.

Keywords: image super; resolution; scale space; multi scale ... See more keywords
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A 1-D Deformable Convolutional Neural Network for the Quantitative Analysis of Capnographic Sensor

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Published in 2021 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2020.3042989

Abstract: Capnography, the measurement of the concentration of carbon dioxide in exhaled air has the potential to provide insight into the diagnosis of many cardiopulmonary diseases. Our objective is to develop an effective deep learning algorithm… read more here.

Keywords: neural network; deformable convolutional; quantitative analysis; convolutional neural ... See more keywords
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DCNet: A Deformable Convolutional Cloud Detection Network for Remote Sensing Imagery

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3086584

Abstract: Recently, deep convolutional neural networks (CNNs) have made important progress in cloud detection with powerful representation learning capability and yield significant performance. However, most existing CNN-based cloud detection methods still face serious challenges because of… read more here.

Keywords: convolutional cloud; deformable convolutional; detection; detection network ... See more keywords