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Yuanzhen Liu

Showing results (41-50 of 52) with videos related to

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Frontiers in Endocrinology|March 27, 2023
Value of machine learning-based transrectal multimodal ultrasound combined with PSA-related indicators in the diagnosis of clinically significant prostate cancerMaoliang Zhang, Yuanzhen Liu, Jincao Yao, et al.
Heliyon|August 28, 2023
Leveraging deep learning to identify calcification and colloid in thyroid nodulesChen Chen, Yuanzhen Liu, Jincao Yao, et al.
BMC Medical Imaging|February 14, 2025
A nomogram for diagnosis of BI-RADS 4 breast nodules based on three-dimensional volume ultrasoundXianping Jiang, Chen Chen, Jincao Yao, et al.
European Journal of Radiology|August 18, 2023
The auxiliary diagnosis of thyroid echogenic foci based on a deep learning segmentation model: A two-center studyYuanzhen Liu, Chen Chen, Kai Wang, et al.
European Radiology|February 4, 2025
Age-stratified deep learning model for thyroid tumor classification: a multicenter diagnostic studyWeijie Zou, Yahan Zhou, Jincao Yao, et al.
BMC Cancer|November 23, 2023
Deep learning approaches for differentiating thyroid nodules with calcification: a two-center studyChen Chen, Yuanzhen Liu, Jincao Yao, et al.
European Radiology|October 11, 2023
Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic studyChen Chen, Yitao Jiang, Jincao Yao, et al.
Microbiome|June 7, 2020
Skin microbiota analysis-inspired development of novel anti-infectivesYao Liu, Yuanzhen Liu, Zixiu Du, et al.
The British Journal of Radiology|September 17, 2024
Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic studyYuqi Yan, Yuanzhen Liu, Jincao Yao, et al.
Frontiers in Oncology|July 14, 2025
Prostate cancer classification using 3D deep learning and ultrasound video clips: a multicenter studyWenjie Lou, Peizhe Chen, Chengyi Wu, et al.
Pageof 6

Showing results (41-50 of 52) with videos related to

Sort By:
Pageof 6
Frontiers in Endocrinology|March 27, 2023
Value of machine learning-based transrectal multimodal ultrasound combined with PSA-related indicators in the diagnosis of clinically significant prostate cancerMaoliang Zhang, Yuanzhen Liu, Jincao Yao, et al.
Heliyon|August 28, 2023
Leveraging deep learning to identify calcification and colloid in thyroid nodulesChen Chen, Yuanzhen Liu, Jincao Yao, et al.
BMC Medical Imaging|February 14, 2025
A nomogram for diagnosis of BI-RADS 4 breast nodules based on three-dimensional volume ultrasoundXianping Jiang, Chen Chen, Jincao Yao, et al.
European Journal of Radiology|August 18, 2023
The auxiliary diagnosis of thyroid echogenic foci based on a deep learning segmentation model: A two-center studyYuanzhen Liu, Chen Chen, Kai Wang, et al.
European Radiology|February 4, 2025
Age-stratified deep learning model for thyroid tumor classification: a multicenter diagnostic studyWeijie Zou, Yahan Zhou, Jincao Yao, et al.
BMC Cancer|November 23, 2023
Deep learning approaches for differentiating thyroid nodules with calcification: a two-center studyChen Chen, Yuanzhen Liu, Jincao Yao, et al.
European Radiology|October 11, 2023
Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic studyChen Chen, Yitao Jiang, Jincao Yao, et al.
Microbiome|June 7, 2020
Skin microbiota analysis-inspired development of novel anti-infectivesYao Liu, Yuanzhen Liu, Zixiu Du, et al.
The British Journal of Radiology|September 17, 2024
Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic studyYuqi Yan, Yuanzhen Liu, Jincao Yao, et al.
Frontiers in Oncology|July 14, 2025
Prostate cancer classification using 3D deep learning and ultrasound video clips: a multicenter studyWenjie Lou, Peizhe Chen, Chengyi Wu, et al.
Pageof 6