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Published in 2020 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13008
Abstract: Abstract Purpose The study aimed to use quantitative geometric and dosimetric metrics to assess the accuracy of atlas‐based auto‐segmentation of masticatory muscles (MMs) compared to manual drawn contours for head and neck cancer (HNC) radiotherapy…
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Keywords:
auto;
segmentation;
based auto;
auto segmentation ... See more keywords
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Published in 2021 at "Journal of applied clinical medical physics"
DOI: 10.1002/acm2.13470
Abstract: OBJECTIVES Because radiotherapy is indispensible for treating cervical cancer, it is critical to accurately and efficiently delineate the radiation targets. We evaluated a deep learning (DL)-based auto-segmentation algorithm for automatic contouring of clinical target volumes…
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Keywords:
auto;
based auto;
cervical cancer;
auto segmentation ... See more keywords
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Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106795
Abstract: Abstract With the influx of more advanced and more connected computing and control devices, the electric power grid has continuously evolved to rely on communication networks for efficient operation and control. A challenge with these…
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Keywords:
auto;
based auto;
auto encoder;
attention based ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3001226
Abstract: For orthogonal frequency division multiplexing (OFDM) systems, the carrier frequency offset (CFO) estimation is required for the frequency synchronization before the data reception. When 1-bit ADCs are employed in OFDM systems, the available information is…
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Keywords:
ofdm systems;
bit adcs;
based auto;
cfo estimation ... See more keywords
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Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/7518779
Abstract: Enhancers are a class of noncoding DNA elements located near structural genes. In recent years, their identification and classification have been the focus of research in the field of bioinformatics. However, due to their high…
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Keywords:
cross covariance;
based lstm;
auto cross;
attention based ... See more keywords
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Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.929727
Abstract: Purpose Respiratory motion of locally advanced non-small cell lung cancer (LA-NSCLC) adds to the challenge of targeting the disease with radiotherapy (RT). One technique used frequently to alleviate this challenge is an internal gross tumor…
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Keywords:
auto propagation;
auto;
igtvs;
volume ... See more keywords
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Published in 2022 at "Cancers"
DOI: 10.3390/cancers14153581
Abstract: Simple Summary We investigated the contouring data of organs at risk from 40 patients with breast cancer who underwent radiotherapy. The performance of denoising-based auto-segmentation was compared with manual segmentation and conventional deep-learning-based auto-segmentation without…
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Keywords:
denoising based;
segmentation;
auto segmentation;
deep learning ... See more keywords
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Published in 2022 at "Micromachines"
DOI: 10.3390/mi13060890
Abstract: Artificial intelligence techniques for pneumatic robot manipulators have become of deep interest in industrial applications, such as non-high voltage environments, clean operations, and high power-to-weight ratio tasks. The principal advantages of this type of actuator…
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Keywords:
ann based;
implementation ann;
adjustable pneumatic;
based auto ... See more keywords