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Real-time co-registered photoacoustic and ultrasonic imaging for early endometrial cancer detection driven by cylindrical diffuser
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作者 Yongping Lin peter andreae +2 位作者 Zhifang Li Jianyong Cai Hui Li 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2019年第2期1-12,共12页
In illuminating tissues,a cylindrical diffuser(CD)has an advantage over regular laser sources due to its ability to illuminate a larger volume of the target tissue.This paper presents a co-registered large volume phot... In illuminating tissues,a cylindrical diffuser(CD)has an advantage over regular laser sources due to its ability to illuminate a larger volume of the target tissue.This paper presents a co-registered large volume photoacoustic(PA)and ultrasonic(US)imaging for early endometrial cancer(EEC)detection using CD.It has the advantage that the US imaging system is outside the body and only the PA excitation device is inside the body,which makes the system more efficient and less invasive for EEC detection.The paper reports on two sets of experiments.Thefirst set produced real-time PA images of blood vessel phantom.The second set demonstrated the imaging of pig uterus ex vivo.The results show that the system has the potential for imaging and characterizing of EEC. 展开更多
关键词 Endometrial cancer cylindrical diffuser photoacoustic imaging
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Using Wikipedia as an External Knowledge Source for Supporting Contextual Disambiguation
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作者 Shahida Jabeen Xiaoying Gao peter andreae 《Journal of Software Engineering and Applications》 2012年第12期175-180,共6页
Every term has a meaning but there are terms which have multiple meanings. Identifying the correct meaning of a term in a specific context is the goal of Word Sense Disambiguation (WSD) applications. Identifying the c... Every term has a meaning but there are terms which have multiple meanings. Identifying the correct meaning of a term in a specific context is the goal of Word Sense Disambiguation (WSD) applications. Identifying the correct sense of a term given a limited context is even harder. This research aims at solving the problem of identifying the correct sense of a term given only one term as its context. The main focus of this research is on using Wikipedia as the external knowledge source to decipher the true meaning of each term using a single term as the context. We experimented with the semantically rich Wikipedia senses and hyperlinks for context disambiguation. We also analyzed the effect of sense filtering on context extraction and found it quite effective for contextual disambiguation. Results have shown that disambiguation with filtering works quite well on manually disambiguated dataset with the performance accuracy of 86%. 展开更多
关键词 CONTEXTUAL DISAMBIGUATION WIKIPEDIA HYPERLINKS SEMANTIC Relatedness
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