Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yuchi Tian"'
Autor:
Yuchi Tian, Temitope Emmanuel Komolafe, Jian Zheng, Guofeng Zhou, Tao Chen, Bo Zhou, Xiaodong Yang
Publikováno v:
Diagnostics, Vol 11, Iss 10, p 1875 (2021)
To assess if quantitative integrated deep learning and radiomics features can predict the PD-L1 expression level in preoperative MRI of hepatocellular carcinoma (HCC) patients. The data in this study consist of 103 hepatocellular carcinoma patients w
Externí odkaz:
https://doaj.org/article/6ad0a044738c4b208caecf1aa1081279
Publikováno v:
Journal of Medical and Biological Engineering. 42:169-178
Publikováno v:
Medical Physics. 49:231-243
PURPOSE Pneumothorax is a life-threatening emergency that requires immediate treatment. Frontal-view chest X-ray images are typically used for pneumothorax detection in clinical practice. However, manual review of radiographs is time-consuming, labor
Publikováno v:
Fundamental Approaches to Software Engineering
Fundamental Approaches to Software Engineering ISBN: 9783030714994
FASE
Fundamental Approaches to Software Engineering ISBN: 9783030714994
FASE
Deep Neural Networks (DNNs) are being deployed in a wide range of settings today, from safety-critical applications like autonomous driving to commercial applications involving image classifications. However, recent research has shown that DNNs can b
Autor:
Temitope Emmanuel Komolafe, Guofeng Zhou, Yuchi Tian, Bo Zhou, Xiaodong Yang, Jian Zheng, Tao Chen
Publikováno v:
Diagnostics
Volume 11
Issue 10
Diagnostics, Vol 11, Iss 1875, p 1875 (2021)
Volume 11
Issue 10
Diagnostics, Vol 11, Iss 1875, p 1875 (2021)
To assess if quantitative integrated deep learning and radiomics features can predict the PD-L1 expression level in preoperative MRI of hepatocellular carcinoma (HCC) patients. The data in this study consist of 103 hepatocellular carcinoma patients w
Autor:
Xiaodong Yang, Yuchi Tian
Publikováno v:
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Due to pneumothorax lesions in chest X-ray images show wide and complicated variation in size, shape, and location within lung regions that overlap with many other anatomic structures such as ribs and vessels, it is a challenge to develop a reliable
Autor:
Yinzhi Cao, Yuchi Tian, Suman Jana, Shiqi Wang, Justin Whitehouse, Junfeng Yang, Carl Vondrick, Baishakhi Ray, Kexin Pei
Publikováno v:
ACM SIGOPS Operating Systems Review. 53:59-67
Deep learning (DL) systems are increasingly deployed in safety- and security-critical domains including autonomous driving, robotics, and malware detection, where the correctness and predictability of a system on corner-case inputs are of great impor
Autor:
Yuchi Tian
Publikováno v:
ESEC/SIGSOFT FSE
Recent works in DNN testing show that DNN based image classifiers are susceptible to confusion and bias errors. A DNN model, even robust trained model can be highly confused between certain pair of objects or highly bias towards some object than othe
Publikováno v:
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering.
Image classifiers are an important component of today's software, from consumer and business applications to safety-critical domains. The advent of Deep Neural Networks (DNNs) is the key catalyst behind such wide-spread success. However, wide adoptio
Publikováno v:
ICSE
Code prediction, more specifically autocomplete, has become an essential feature in modern IDEs. Autocomplete is more effective when the desired next token is at (or close to) the top of the list of potential completions offered by the IDE at cursor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0ed9c6c4b5b7272542961b7d30c457c