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

Heang-Ping Chan

Showing results (1-10 of 171) with videos related to

Pageof 18
Sort By:
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 8, 2009
Computer-aided diagnosis in breast tomosynthesis and chest CTHeang-Ping Chan
European Radiology|November 16, 2023
Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancerHeang-Ping Chan
Radiology. Artificial Intelligence|August 5, 2021
Promise and Potential Pitfalls: Re-creating Images or Generating New Images for AI ModelingHeang-Ping Chan
Medical Physics|March 4, 2016
Comment on "Large area CMOS active pixel sensor x-ray imager for digital breast tomosynthesis: Analysis, modeling, and characterization" [Med. Phys. 42, 6294-6308 (2015)]Heang-Ping Chan
Radiology|July 6, 2021
Using Single-View Wide-Angle DBT with AI for Breast Cancer ScreeningHeang-Ping Chan, Mark A Helvie
Radiology|October 17, 2018
Deep Learning for Mammographic Breast Density Assessment and BeyondHeang-Ping Chan, Mark A Helvie
BJR Artificial Intelligence|May 1, 2026
Launching <i>BJR</i>|<i>Artificial intelligence</i>: an editorialHeang-Ping Chan, Issam El Naqa
Medical Physics|May 22, 2008
Classifier performance prediction for computer-aided diagnosis using a limited datasetBerkman Sahiner, Heang-Ping Chan, Lubomir Hadjiiski
Current Opinion in Obstetrics & Gynecology|February 24, 2006
Advances in computer-aided diagnosis for breast cancerLubomir Hadjiiski, Berkman Sahiner, Heang-Ping Chan
Neural Networks : the Official Journal of the International Neural Network Society|February 1, 2008
Classifier performance estimation under the constraint of a finite sample size: resampling schemes applied to neural network classifiersBerkman Sahiner, Heang-Ping Chan, Lubomir Hadjiiski
Pageof 18

Showing results (1-10 of 171) with videos related to

Sort By:
Pageof 18
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 8, 2009
Computer-aided diagnosis in breast tomosynthesis and chest CTHeang-Ping Chan
European Radiology|November 16, 2023
Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancerHeang-Ping Chan
Radiology. Artificial Intelligence|August 5, 2021
Promise and Potential Pitfalls: Re-creating Images or Generating New Images for AI ModelingHeang-Ping Chan
Medical Physics|March 4, 2016
Comment on "Large area CMOS active pixel sensor x-ray imager for digital breast tomosynthesis: Analysis, modeling, and characterization" [Med. Phys. 42, 6294-6308 (2015)]Heang-Ping Chan
Radiology|July 6, 2021
Using Single-View Wide-Angle DBT with AI for Breast Cancer ScreeningHeang-Ping Chan, Mark A Helvie
Radiology|October 17, 2018
Deep Learning for Mammographic Breast Density Assessment and BeyondHeang-Ping Chan, Mark A Helvie
BJR Artificial Intelligence|May 1, 2026
Launching <i>BJR</i>|<i>Artificial intelligence</i>: an editorialHeang-Ping Chan, Issam El Naqa
Medical Physics|May 22, 2008
Classifier performance prediction for computer-aided diagnosis using a limited datasetBerkman Sahiner, Heang-Ping Chan, Lubomir Hadjiiski
Current Opinion in Obstetrics & Gynecology|February 24, 2006
Advances in computer-aided diagnosis for breast cancerLubomir Hadjiiski, Berkman Sahiner, Heang-Ping Chan
Neural Networks : the Official Journal of the International Neural Network Society|February 1, 2008
Classifier performance estimation under the constraint of a finite sample size: resampling schemes applied to neural network classifiersBerkman Sahiner, Heang-Ping Chan, Lubomir Hadjiiski
Pageof 18