Zobrazeno 1 - 10
of 349
pro vyhledávání: '"Jimin Liang"'
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1275 (2024)
Traditional deep learning models for fruit and vegetable classification are usually implemented via training on an unchanged dataset. However, changing fruit and vegetable categories is a very common occurrence in the context of real agricultural sal
Externí odkaz:
https://doaj.org/article/e34d4cb147c14824952044a3ca2ad272
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4476 (2023)
Registration of optical and synthetic aperture radar (SAR) images is challenging because extracting located identically and unique features on both images are tricky. This paper proposes a novel optical and SAR image registration method based on rela
Externí odkaz:
https://doaj.org/article/28a641b2a1674b3fac45df773d113907
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 700-715 (2022)
Extracting objects of interest from remote sensing imagery is an essential part in various practical applications. The objects that people pay attention to in the remote sensing scene mainly include buildings, roads, vehicles, etc. In this article, e
Externí odkaz:
https://doaj.org/article/e3402d95b3864f439835fcf81a2151c4
Publikováno v:
Frontiers in Chemistry, Vol 10 (2022)
Ion mobility spectrometer (IMS) is a powerful chemical composition analysis tool working at atmospheric pressure that can be used to separate complex samples and study molecular structures. Resolution is a key parameter for evaluating the performance
Externí odkaz:
https://doaj.org/article/b0bf6e51bf8b4503af231d985fe68edb
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2035 (2023)
Synthetic Aperture Radar (SAR) is an all-weather sensing technology that has proven its effectiveness for ship detection. However, detecting ships accurately with oriented bounding boxes (OBB) on SAR images is challenging due to arbitrary ship orient
Externí odkaz:
https://doaj.org/article/3adb399cfc8c4c358417c62927fd9991
Publikováno v:
Sensors, Vol 23, Iss 7, p 3420 (2023)
The resolution of feature maps is a critical factor for accurate medical image segmentation. Most of the existing Transformer-based networks for medical image segmentation adopt a U-Net-like architecture, which contains an encoder that converts the h
Externí odkaz:
https://doaj.org/article/d6e0d770c28e4cfb9f50f57822e9dc04
Publikováno v:
BioMedical Engineering OnLine, Vol 19, Iss 1, Pp 1-13 (2020)
Abstract Background Invasion depth is an important index for staging and clinical treatment strategy of bladder cancer (BCa). The aim of this study was to investigate the feasibility of segmenting the BCa region from bladder wall region on MRI, and q
Externí odkaz:
https://doaj.org/article/bf3730d97750457db25ca5e82a1f6394
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Face processing is a spatiotemporal dynamic process involving widely distributed and closely connected brain regions. Although previous studies have examined the topological differences in brain networks between face and non-face processing, the time
Externí odkaz:
https://doaj.org/article/df29ddb89c254ec4af6d0d3d629a85f9
Publikováno v:
IEEE Access, Vol 7, Pp 57881-57893 (2019)
Accurate delineation of cardiac structures in CTA images remains challenging, due to the similar appearance of different components, the highly variable shape and intensity among individuals, and especially the vicinity of heart volumes and backgroun
Externí odkaz:
https://doaj.org/article/fbefd5096653456380bf867527f7e3b3
Publikováno v:
IEEE Access, Vol 7, Pp 87681-87691 (2019)
Optical projection tomography (OPT) is a novel three-dimensional imaging technique, which provides an approach to recreating the three-dimensional images of biological specimens ranging from millimeters to centimeters. In the current OPT setup, the s
Externí odkaz:
https://doaj.org/article/371b74c5db7e4ae180e8a15df7039049