Zobrazeno 1 - 10
of 788
pro vyhledávání: '"ZHANG Xinru"'
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 11, Pp 1743-1746 (2024)
The corneal epithelium, an essential refractive interface, plays an integral role in the corneal healing after corneal refractive surgery. All existing corneal refractive surgeries entail a degree of corneal epithelial remodeling; however, excessive
Externí odkaz:
https://doaj.org/article/d0f24856eb5d4177a38e6c2ca549a849
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 35, Iss 4, Pp 559-563 (2023)
ObjectiveThe quality situation and existing problems of livestock， poultry meat and its by-products and fresh eggs in Shanghai from 2018 to 2020 were analyzed.MethodsPublic information on the supervision and sampling of animal-derived food products
Externí odkaz:
https://doaj.org/article/a909ad6161bf47cd8118c7413bc395ca
Cameras and LiDAR are essential sensors for autonomous vehicles. Camera-LiDAR data fusion compensate for deficiencies of stand-alone sensors but relies on precise extrinsic calibration. Many learning-based calibration methods predict extrinsic parame
Externí odkaz:
http://arxiv.org/abs/2411.10936
Assessment of lesions and their longitudinal progression from brain magnetic resonance (MR) images plays a crucial role in diagnosing and monitoring multiple sclerosis (MS). Machine learning models have demonstrated a great potential for automated MS
Externí odkaz:
http://arxiv.org/abs/2410.01766
Publikováno v:
Open Medicine, Vol 16, Iss 1, Pp 1160-1167 (2021)
Lung cancer is the most common cause of cancer-related death. Non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) are the two major histological categories of lung cancers. Drug resistance is a great challenge for cancer treatment, a
Externí odkaz:
https://doaj.org/article/7c7b5d0ce5b64da0a7fff78444a2a7a8
Autor:
Zhang, Xinru, Ou, Ni, Basaran, Berke Doga, Visentin, Marco, Qiao, Mengyun, Gu, Renyang, Ouyang, Cheng, Liu, Yaou, Matthew, Paul M., Ye, Chuyang, Bai, Wenjia
Brain lesion segmentation plays an essential role in neurological research and diagnosis. As brain lesions can be caused by various pathological alterations, different types of brain lesions tend to manifest with different characteristics on differen
Externí odkaz:
http://arxiv.org/abs/2405.10246
Synthesizing healthy brain scans from diseased brain scans offers a potential solution to address the limitations of general-purpose algorithms, such as tissue segmentation and brain extraction algorithms, which may not effectively handle diseased im
Externí odkaz:
http://arxiv.org/abs/2402.01509
This paper's aim is threefold. First, using Feynman's path approach to the derivation of theclassical Schr{\"o}dinger's equation in [6] and by introducing a slight path (or wave) dependency ofthe action, we derive a new class of equations of Schr{\"o
Externí odkaz:
http://arxiv.org/abs/2310.01017
Automated brain tumor segmentation based on deep learning (DL) has achieved promising performance. However, it generally relies on annotated images for model training, which is not always feasible in clinical settings. Therefore, the development of u
Externí odkaz:
http://arxiv.org/abs/2304.01472
Translation models tend to ignore the rich semantic information in triads in the process of knowledge graph complementation. To remedy this shortcoming, this paper constructs a knowledge graph complementation method that incorporates adaptively enhan
Externí odkaz:
http://arxiv.org/abs/2302.02116