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

Lyndon Smith

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Computer Methods and Programs in Biomedicine|April 16, 2022
Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspectiveChollette C Olisah, Lyndon Smith, Melvyn Smith
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|April 14, 2010
Using 3D differential forms to characterize a pigmented lesion in vivoYu Zhou, Melvyn Smith, Lyndon Smith, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|April 14, 2010
A new method describing border irregularity of pigmented lesionsYu Zhou, Melvyn Smith, Lyndon Smith, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|May 7, 2011
Unsupervised sub-segmentation for pigmented skin lesionsZhao Liu, Jiuai Sun, Melvyn Smith, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 16, 2010
Enhanced 3D curvature pattern and melanoma diagnosisYu Zhou, Melvyn Smith, Lyndon Smith, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Biological indexes based reflectional asymmetry for classifying cutaneous lesionsZhao Liu, Lyndon Smith, Jiuai Sun, et al.
Medical & Biological Engineering & Computing|March 23, 2012
Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomasZhao Liu, Jiuai Sun, Lyndon Smith, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|July 24, 2009
Obtaining malignant melanoma indicators through statistical analysis of 3D skin surface disruptionsYi Ding, Lyndon Smith, Melvyn Smith, et al.
Computers in Industry|July 13, 2018
Photometric stereo for three-dimensional leaf venation extractionWenhao Zhang, Mark F Hansen, Melvyn Smith, et al.
Medical & Biological Engineering & Computing|May 8, 2015
Combination of 3D skin surface texture features and 2D ABCD features for improved melanoma diagnosisYi Ding, Nigel W John, Lyndon Smith, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Computer Methods and Programs in Biomedicine|April 16, 2022
Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspectiveChollette C Olisah, Lyndon Smith, Melvyn Smith
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|April 14, 2010
Using 3D differential forms to characterize a pigmented lesion in vivoYu Zhou, Melvyn Smith, Lyndon Smith, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|April 14, 2010
A new method describing border irregularity of pigmented lesionsYu Zhou, Melvyn Smith, Lyndon Smith, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|May 7, 2011
Unsupervised sub-segmentation for pigmented skin lesionsZhao Liu, Jiuai Sun, Melvyn Smith, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 16, 2010
Enhanced 3D curvature pattern and melanoma diagnosisYu Zhou, Melvyn Smith, Lyndon Smith, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Biological indexes based reflectional asymmetry for classifying cutaneous lesionsZhao Liu, Lyndon Smith, Jiuai Sun, et al.
Medical & Biological Engineering & Computing|March 23, 2012
Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomasZhao Liu, Jiuai Sun, Lyndon Smith, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|July 24, 2009
Obtaining malignant melanoma indicators through statistical analysis of 3D skin surface disruptionsYi Ding, Lyndon Smith, Melvyn Smith, et al.
Computers in Industry|July 13, 2018
Photometric stereo for three-dimensional leaf venation extractionWenhao Zhang, Mark F Hansen, Melvyn Smith, et al.
Medical & Biological Engineering & Computing|May 8, 2015
Combination of 3D skin surface texture features and 2D ABCD features for improved melanoma diagnosisYi Ding, Nigel W John, Lyndon Smith, et al.
Pageof 2