Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Theresa C. Thai"'
Autor:
Neman Abdoli, Patrik Gilley, Ke Zhang, Xuxin Chen, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Yuchen Qiu
Publikováno v:
Biophotonics and Immune Responses XVIII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02b8a34223ab30de685f7bbd6dfc14c6
https://doi.org/10.1117/12.2655153
https://doi.org/10.1117/12.2655153
Autor:
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
This study aims to develop a novel computer-aided diagnosis (CAD) scheme for mammographic breast mass classification using semi-supervised learning. Although supervised deep learning has achieved huge success across various medical image analysis tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a799db07a190a795ce4d608a5760ac
Autor:
Ritu Salani, Krishnansu S. Tewari, Mark F. Brady, Robert A. Burger, Jamie N. Bakkum-Gamez, Y. Wang, K.N. Slaughter Wade, Michael A. Bookman, Heidi J. Gray, Bin Zheng, Theresa C. Thai, Kathleen N. Moore
Publikováno v:
Gynecol Oncol
Objective Adiposity has been hypothesized to interfere with the activity of bevacizumab (BEV), an anti-angiogenic agent. Measurements of adiposity, BMI, surface fat area (SFA), and visceral fat area (VFA) were investigated as prognostic of oncologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78dfe6b224783ab5f16876de20dd5419
https://doi.org/10.1016/j.ygyno.2019.07.020
https://doi.org/10.1016/j.ygyno.2019.07.020
Autor:
Katheleen Moore, Robert S. Mannel, Theresa C. Thai, Xuxin Chen, Yuchen Qiu, Hong Liu, Camille C. Gunderson, Bin Zheng
Publikováno v:
Biophotonics and Immune Responses XVI.
The purpose of this study is to develop a novel computer-aided diagnosis (CAD) scheme to facilitate breast mass classification, which is based on the latest transferring generative adversarial networks (GAN) technology. Although GAN is one of the mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b57abef04e3e3bde745fdfd9dc87a2e
https://doi.org/10.1117/12.2583246
https://doi.org/10.1117/12.2583246
Autor:
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Publikováno v:
Med Image Anal
Deep learning has received extensive research interest in developing new medical image processing algorithms, and deep learning based models have been remarkably successful in a variety of medical imaging tasks to support disease detection and diagno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d38901844a54b4811353e2649ab67fc6
Publikováno v:
Exp Biol Med (Maywood)
The rapid and dramatic increase in confirmed cases of COVID-19 has led to a global pandemic. Early detection and containment are currently the most effective methods for controlling the outbreak. A positive diagnosis is determined by laboratory real-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fe2c0c1a16f26db3e115ad0e2fb2eeb
https://europepmc.org/articles/PMC7400724/
https://europepmc.org/articles/PMC7400724/
Autor:
Wei Liu, Theresa C. Thai, Yuchen Qiu, Kathleen M. Moore, T. Castellano, Bin Zheng, Shiyu Pei, R. S. Mannel, Xuxin Chen, Hong Liu, Camille C. Gunderson
Publikováno v:
Biophotonics and Immune Responses XV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b95f65079d9c7366a3c0940e6219215
https://doi.org/10.1117/12.2548669
https://doi.org/10.1117/12.2548669
Autor:
Yue Du, Abolfazl Zargari, Roy Zhang, Hong Liu, Camille C. Gunderson, Theresa C. Thai, Katherine M. Moxley, Yuchen Qiu, Bin Zheng
Publikováno v:
Annals of Biomedical Engineering. 46:1988-1999
The tumor-stroma ratio (TSR) reflected on hematoxylin and eosin (H&E)-stained histological images is a potential prognostic factor for survival. Automatic image processing techniques that allow for high-throughput and precise discrimination of tumor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33ed9156cea633bbc1832028cf25a045
https://doi.org/10.1007/s10439-018-2095-6
https://doi.org/10.1007/s10439-018-2095-6
Publikováno v:
Journal of Pediatric and Adolescent Gynecology. 31:64-66
Background Isolated uterine didelphys requires no treatment in contrast to cervical agenesis, which requires a hysterectomy. Because of this, correct diagnosis of Mullerian anomalies is paramount for making recommendations for patient care. Case A 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4da01a459de3116535d2892c893af2b0
https://doi.org/10.1016/j.jpag.2017.08.001
https://doi.org/10.1016/j.jpag.2017.08.001
Autor:
T. Castellano, Wei Liu, Bin Zheng, Theresa C. Thai, Yuchen Qiu, Hong Liu, Camille C. Gunderson, Robert S. Mannel, Kathleen N. Moore, Abolfazl Zargaria
Publikováno v:
Biophotonics and Immune Responses XIV.
The purpose of this investigation is to verify the feasibility of using deep learning technology to generate an image marker for accurate stratification of cervical cancer patients. For this purpose, a pre-trained deep residual neural network (i.e. R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baafd3cd4d225431ad0422bd34484277
https://doi.org/10.1117/12.2510037
https://doi.org/10.1117/12.2510037