Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Yuzhen Niu"'
Autor:
Bowen Zhang, Long Cheng, Yuzhen Niu, Aming Wang, Pengyi Zhang, Tiantian Shen, Lili Xi, Dekui Zhang, Shuyan Li
Publikováno v:
IEEE Access, Vol 10, Pp 106081-106092 (2022)
Gastric cancer (GC) is one of the most common cancers in the world. In cancer detection, liquid biopsy, as a noninvasive and rapid method, is growing in importance. Different from traditional liquid biopsy using a single biomarker, this study integra
Externí odkaz:
https://doaj.org/article/e352fb8e79e146b4aad57172f7f9d8f4
Publikováno v:
ACS Omega, Vol 6, Iss 49, Pp 33864-33873 (2021)
Externí odkaz:
https://doaj.org/article/b654ba32256c4d2daca2a11b063354be
Publikováno v:
IEEE Access, Vol 8, Pp 32121-32136 (2020)
Convolutional neural network (CNN)-based single image super-resolution (SR) methods have achieved superior performance on some discrete-scaling factors, including 2, 3, and 4. However, the scaling factors for SR should be continuous and not discrete
Externí odkaz:
https://doaj.org/article/ed4d252ac5cc4027b407fbc6e5da1a73
Publikováno v:
IEEE Access, Vol 8, Pp 192352-192367 (2020)
Because the pairwise comparison is a natural and effective way to obtain subjective image quality scores, we propose an objective full-reference image quality assessment (FR-IQA) index based on pairwise learning to rank (PLR). We first compose a larg
Externí odkaz:
https://doaj.org/article/4a463e4bacbd4289a762fd4e641121bc
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
The untranslated region (UTRs) of viral genome are important for viral replication and immune modulation. Japanese encephalitis virus (JEV) is the most significant cause of epidemic encephalitis worldwide. However, little is known regarding the chara
Externí odkaz:
https://doaj.org/article/770edd0161e94fcbaacb01eec21e3f02
Publikováno v:
IEEE Access, Vol 7, Pp 782-801 (2019)
Image quality is important not only for the viewing experience, but also for the performance of image processing algorithms. Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision. In
Externí odkaz:
https://doaj.org/article/055b626190b34be397c32a4ce8eddacc
Publikováno v:
IEEE Access, Vol 7, Pp 19835-19847 (2019)
Numerous stereoscopic image saliency detection algorithms have been presented to detect the salient objects in a stereoscopic image. However, they typically fail to uniformly highlight all the objects when the image contains multiple objects or compl
Externí odkaz:
https://doaj.org/article/8e561baf28124f209f33fed8ca7ccca0
Publikováno v:
IEEE Access, Vol 7, Pp 78991-79004 (2019)
One-shot video-based person re-identification exploits the unlabeled data by using a single-labeled sample for each individual to train a model and to reduce the need for laborious labeling. Although recent works focusing on this task have made some
Externí odkaz:
https://doaj.org/article/0f14440a2ea944daa47396992f34250d
Publikováno v:
IEEE Access, Vol 7, Pp 173679-173693 (2019)
Semantic segmentation plays a critical role in image understanding. Recently, Fully Convolutional Network (FCN)-based models have made significant progress in semantic segmentation. However, achieving the full utilization of contextual information an
Externí odkaz:
https://doaj.org/article/c9301c2ccde84a8aa191f4a2479b6b96
Publikováno v:
IEEE Access, Vol 7, Pp 101583-101595 (2019)
2D image quality assessment (IQA) and stereoscopic 3D IQA are considered as two different tasks in the literature. In this paper, we present an index for both no-reference 2D and 3D IQA. We propose to transform the IQA task into a task of quality com
Externí odkaz:
https://doaj.org/article/4e25bc4233f444929784a755daac10d2