Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Muhao XU"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 11, p 275 (2024)
Deep learning, particularly convolutional neural networks (CNNs), has revolutionized endoscopic image processing, significantly enhancing the efficiency and accuracy of disease diagnosis through its exceptional ability to extract features and classif
Externí odkaz:
https://doaj.org/article/0c35d7bf66564bdabf6681dfc35e7bf8
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0298014 (2024)
PurposeThis study aimed to assess the difference in prognosis of patients with early-stage liver cancer after surgery or external radiation.MethodsBetween 2010 and 2015, 2155 patients with AJCC 7th stage I liver cancer were enrolled in the SEER datab
Externí odkaz:
https://doaj.org/article/55f56821262242358ce3c7c1e8c5fee6
Publikováno v:
Computers in biology and medicine. 153
The rapid growth of medical data has greatly promoted the wide exploitation of machine learning for paramedical diagnosis. Inversely proportional to their performance, most machine learning models generally suffer from the lack of explainability, esp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f284f33d5800342af9e7cad5d6b1c352
https://pubmed.ncbi.nlm.nih.gov/36592608
https://pubmed.ncbi.nlm.nih.gov/36592608
Publikováno v:
Thermal Science, Vol 25, Iss 6 Part B, Pp 4805-4815 (2021)
In this study, a closed-loop spray cooling system using R134a as the working fluid was established. The heat transfer characteristics and influencing mechanism of transient spray cooling were studied. The transient spray cooling curve under quenching
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27f1e69e587f3d12e0cfc4129e0ba794
http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362000349Z.pdf
http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362000349Z.pdf
Unsupervised representation learning has been extensively employed in anomaly detection, achieving impressive performance. Extracting valuable feature vectors that can remarkably improve the performance of anomaly detection are essential in unsupervi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f659b8d65d97142adf19f92825f34cf
http://arxiv.org/abs/2204.11014
http://arxiv.org/abs/2204.11014
