Zobrazeno 1 - 10
of 374
pro vyhledávání: '"Zhang Zhengtao"'
Autor:
Zhang Zhengtao, Hui Lijian
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 1707-1717 (2023)
The development of effective precision treatments for liver cancers has been hindered by the scarcity of preclinical models that accurately reflect the heterogeneity of this disease. Recent progress in developing patient-derived liver cancer cell lin
Externí odkaz:
https://doaj.org/article/d1678882cbac438592340734be699ae1
Autor:
ZHANG Zhengtao, ZHONG Mingwei
Publikováno v:
中西医结合护理, Vol 8, Iss 5, Pp 13-18 (2022)
Objective To evaluate the application of enzyme in instrument cleaning for hospital sterile reprocessing and different factors that impact the enzyme activity. Methods Standard soil objects for instrument cleaning quality evaluation, as testing coupo
Externí odkaz:
https://doaj.org/article/aa1ab62127154503829c58f80f3861f0
Image generation can solve insufficient labeled data issues in defect detection. Most defect generation methods are only trained on a single product without considering the consistencies among multiple products, leading to poor quality and diversity
Externí odkaz:
http://arxiv.org/abs/2408.00372
Unsupervised anomaly localization on industrial textured images has achieved remarkable results through reconstruction-based methods, yet existing approaches based on image reconstruction and feature reconstruc-tion each have their own shortcomings.
Externí odkaz:
http://arxiv.org/abs/2407.17705
Recently, large-scale vision-language models such as CLIP have demonstrated immense potential in zero-shot anomaly segmentation (ZSAS) task, utilizing a unified model to directly detect anomalies on any unseen product with painstakingly crafted text
Externí odkaz:
http://arxiv.org/abs/2407.12276
Anomaly synthesis strategies can effectively enhance unsupervised anomaly detection. However, existing strategies have limitations in the coverage and controllability of anomaly synthesis, particularly for weak defects that are very similar to normal
Externí odkaz:
http://arxiv.org/abs/2407.09359
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 235, Iss 4, Pp 929-931 (2020)
C28H36N4O19Co2, triclinic, P1̄ (no. 2), a = 7.4890(5) Å, b = 8.8913(4) Å, c = 13.5918(7) Å, α = 88.027(4)°, β = 89.819(5)°, γ = 69.729(5)°, V = 848.44(9) Å3, Z = 1, Rgt(F) = 0.0435, wRref(F2) = 0.1015, T = 293(2) K.
Externí odkaz:
https://doaj.org/article/cf766ffc3e0e4525b10202fe6d53e2fd
Visual anomaly detection aims at classifying and locating the regions that deviate from the normal appearance. Embedding-based methods and reconstruction-based methods are two main approaches for this task. However, they are either not efficient or n
Externí odkaz:
http://arxiv.org/abs/2312.12913
In industrial defect segmentation tasks, while pixel accuracy and Intersection over Union (IoU) are commonly employed metrics to assess segmentation performance, the output consistency (also referred to equivalence) of the model is often overlooked.
Externí odkaz:
http://arxiv.org/abs/2309.16902
One-class classification (OCC) is a longstanding method for anomaly detection. With the powerful representation capability of the pre-trained backbone, OCC methods have witnessed significant performance improvements. Typically, most of these OCC meth
Externí odkaz:
http://arxiv.org/abs/2308.11898