Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Yide Ma

Showing results (21-30 of 27) with videos related to

Pageof 3
Sort By:
You have reached the last page of results.This site can display upto 27 results.
Computers in Biology and Medicine|January 13, 2023
ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentationZhou Ma, Yunliang Qi, Chunbo Xu, et al.
International Journal of Computer Assisted Radiology and Surgery|January 8, 2017
Automatic gallbladder and gallstone regions segmentation in ultrasound imageJing Lian, Yide Ma, Yurun Ma, et al.
Cancers|February 11, 2023
Deep Learning with Transformer or Convolutional Neural Network in the Assessment of Tumor-Infiltrating Lymphocytes (TILs) in Breast Cancer Based on US Images: A Dual-Center Retrospective StudyYingying Jia, Ruichao Wu, Xiangyu Lu, et al.
Ultrasound in Medicine & Biology|August 27, 2023
Evaluation of Breast Cancer Tumor-Infiltrating Lymphocytes on Ultrasound Images Based on a Novel Multi-Cascade Residual U-Shaped NetworkRuichao Wu, Yingying Jia, Nana Li, et al.
Computer Methods and Programs in Biomedicine|May 22, 2016
A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNNYa'nan Guo, Min Dong, Zhen Yang, et al.
The British Journal of Radiology|July 12, 2024
Deep learning-based and BI-RADS guided radiomics model for automatic tumor-infiltrating lymphocytes evaluation in breast cancerXiangyu Lu, Yingying Jia, Hongjuan Zhang, et al.
Quantitative Imaging in Medicine and Surgery|March 31, 2025
Ultrasound-based deep learning radiomics for multi-stage assisted diagnosis in reducing unnecessary biopsies of BI-RADS 4A lesionsXiangyu Lu, Yun Lu, Wuyuan Zhao, et al.
Pageof 3

Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
Computers in Biology and Medicine|January 13, 2023
ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentationZhou Ma, Yunliang Qi, Chunbo Xu, et al.
International Journal of Computer Assisted Radiology and Surgery|January 8, 2017
Automatic gallbladder and gallstone regions segmentation in ultrasound imageJing Lian, Yide Ma, Yurun Ma, et al.
Cancers|February 11, 2023
Deep Learning with Transformer or Convolutional Neural Network in the Assessment of Tumor-Infiltrating Lymphocytes (TILs) in Breast Cancer Based on US Images: A Dual-Center Retrospective StudyYingying Jia, Ruichao Wu, Xiangyu Lu, et al.
Ultrasound in Medicine & Biology|August 27, 2023
Evaluation of Breast Cancer Tumor-Infiltrating Lymphocytes on Ultrasound Images Based on a Novel Multi-Cascade Residual U-Shaped NetworkRuichao Wu, Yingying Jia, Nana Li, et al.
Computer Methods and Programs in Biomedicine|May 22, 2016
A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNNYa'nan Guo, Min Dong, Zhen Yang, et al.
The British Journal of Radiology|July 12, 2024
Deep learning-based and BI-RADS guided radiomics model for automatic tumor-infiltrating lymphocytes evaluation in breast cancerXiangyu Lu, Yingying Jia, Hongjuan Zhang, et al.
Quantitative Imaging in Medicine and Surgery|March 31, 2025
Ultrasound-based deep learning radiomics for multi-stage assisted diagnosis in reducing unnecessary biopsies of BI-RADS 4A lesionsXiangyu Lu, Yun Lu, Wuyuan Zhao, et al.
Pageof 3