Zobrazeno 1 - 10
of 1 587
pro vyhledávání: '"Han, Lai"'
Charts are widely used for data visualization across various fields, including education, research, and business. Chart Question Answering (CQA) is an emerging task focused on the automatic interpretation and reasoning of data presented in charts. Ho
Externí odkaz:
http://arxiv.org/abs/2409.01667
Chart understanding enables automated data analysis for humans, which requires models to achieve highly accurate visual comprehension. While existing Visual Language Models (VLMs) have shown progress in chart understanding, the lack of high-quality t
Externí odkaz:
http://arxiv.org/abs/2409.01577
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Endoscopic ultrasonography (EUS) is pivotal for diagnosing and sampling pancreatic tumor tissues. This study aimed to assess how the histological type and size of tumors influence the adequacy of macroscopic tissue cores acquired using EUS-g
Externí odkaz:
https://doaj.org/article/7db9a05f746d48f9bdf7b06067e7eed6
Autor:
Chun-Hsien Chen, Chin-Wei Kuo, Chih-Ming Tsai, Zih-Bin Hong, Ching-Han Lai, Tzu-Yi Chan, Wei-Chen Lin
Publikováno v:
Journal of Microbiology, Immunology and Infection, Vol 57, Iss 4, Pp 638-646 (2024)
Introduction: Lung cancer is one of the most prevalent malignancies worldwide. Substantial research has illuminated the intricate interplay between microorganisms and human health, revealing their role in disease regulation. Trichomonads is a flagell
Externí odkaz:
https://doaj.org/article/318dae9e65464c75a3bf1d49f37eabaa
Autor:
Fang Hua, Yue Hu, Guang-Cui He, Si-Han Lai, Ying He, Shan Zhang, Yan Deng, Ying Han, Xiao-Dong Liu, Kun Yang, Hui-Xiu Zhong, Jian Xiao, Zhong-Zheng Zheng, Hai Yi
Publikováno v:
Hematology, Vol 29, Iss 1 (2024)
Backgroud Li-Fraumeni syndrome is a hereditary tumor syndrome characterized by an elevated risk of malignancy, particularly acute lymphoblastic leukemia (ALL), which can be caused by the heterozygous germline mutation. TP53 gene germline mutation is
Externí odkaz:
https://doaj.org/article/7f0c790b34604c94922cf260475a01c0
Autor:
Chun-Hsien Chen, Jenn-Wei Chen, Chao-Han Lai, Chih-Ming Tsai, Chien-Chin Chen, Wei-Chen Lin, Po-Chuan Chen
Publikováno v:
Journal of Functional Foods, Vol 121, Iss , Pp 106450- (2024)
Background: Microbiota manipulation through preoperative probiotic supplementation to reduce surgical site infection has shown promising results in recent years. However, the changes in gut microbiota resulting from this manipulation remain unclear.
Externí odkaz:
https://doaj.org/article/cb0991d945324379821234bed1b1cb97
Publikováno v:
Gastroenterology Insights, Vol 15, Iss 2, Pp 375-385 (2024)
Clinicians often use endoscopic ultrasonography to survey pancreatic tumors. When endoscopists conduct this examination and find the tumor to be unresectable, a fine-needle biopsy is subsequently performed for tissue confirmation. However, if the tum
Externí odkaz:
https://doaj.org/article/0b648f59ae294f60b9273cd5ae3b03a5
Autor:
Han Lai, Sheng Bi, Huadong Yi, Haiyang Li, Xuchong Wei, Gongpei Wang, Dingli Guo, Xuange Liu, Jiahui Chen, Qiuxian Chen, Zhilun Zhang, Shuang Liu, Chenlei Huang, Li Lin, Guifeng Li
Publikováno v:
Ecology and Evolution, Vol 14, Iss 7, Pp n/a-n/a (2024)
Abstract In recent decades, hypoxic areas have rapidly expanded worldwide in estuaries and coastal zones. The Pearl River Estuary (PRE), one of China's largest estuaries, experiences frequent seasonal hypoxia due to intense human activities and eutro
Externí odkaz:
https://doaj.org/article/cc303f1950814839a88cca04bef8fbdb
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Chia-Ying Lin, Shu-Mei Guo, Jenn-Jier James Lien, Tzung-Yi Tsai, Yi-Sheng Liu, Chao-Han Lai, I-Lin Hsu, Chao-Chun Chang, Yau-Lin Tseng
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Low-dose computed tomography (LDCT) has been shown useful in early lung cancer detection. This study aimed to develop a novel deep learning model for detecting pulmonary nodules on chest LDCT images. Methods In this secondary anal
Externí odkaz:
https://doaj.org/article/d625fe2313ed4312ac46ae97d10099f1