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Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.

Y. Wang, Y. Qiu, T. Thai, K. Moore, H. Liu, and B. Zheng. Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101343G. SPIE, (2017)

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Yuchen Yuan

Yuchen Han

Yuchen Zheng

Xiuhui Qiu

Xueping Qiu

Other publications of authors with the same name

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.X. Chen, A. Zargari, A. Hollingsworth, H. Liu, B. Zheng, and Y. Qiu. Comput. Methods Programs Biomed., (2019)An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study.Y. Qiu, X. Lu, M. Tan, S. Li, H. Liu, and B. Zheng. Medical Imaging: Digital Pathology, volume 9420 of SPIE Proceedings, page 94200X. SPIE, (2015)Residence and Workplace Recovery: User Privacy Risk in Mobility Data.Y. Qiu, Y. Qiao, A. Zhang, and J. Yang. ICDAR@ICMR, page 15-20. ACM, (2020)Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors.S. Mirniaharikandehei, A. Hollingsworth, M. Jones, H. Liu, Y. Qiu, and B. Zheng. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Developing interactive computer-aided detection tools to support translational clinical research.G. Danala, S. Mirniaharikandehei, M. Jones, T. Gai, S. Maryada, D. Wu, Y. Qiu, and B. Zheng. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme.M. Heidari, A. Khuzani, G. Danala, Y. Qiu, and B. Zheng. Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750P. SPIE, (2018)Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions.A. Khuzani, G. Danala, M. Heidari, Y. Du, N. Mashhadi, Y. Qiu, and B. Zheng. Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105752L. SPIE, (2018)Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients.K. Zhang, N. Abdoli, P. Gilley, Y. Sadri, X. Chen, T. Thai, L. Dockery, K. Moore, R. Mannel, and Y. Qiu. Comput. Biol. Medicine, (2024)A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study.S. Dhurjaty, Y. Qiu, M. Tan, H. Liu, and B. Zheng. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94172K. SPIE, (2015)An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology.Y. Qiu, Y. Wang, S. Yan, M. Tan, S. Cheng, H. Liu, and B. Zheng. Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 978521. SPIE, (2016)

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Disambiguation of "Qiu, Yuchen"

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Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.

Please choose a person to relate this publication to

Yuchen Yuan

Yuchen Han

Yuchen Zheng

Xiuhui Qiu

Xueping Qiu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Qiu, Yuchen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.

Please choose a person to relate this publication to

Yuchen Yuan

Yuchen Han

Yuchen Zheng

Xiuhui Qiu

Xueping Qiu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.