Automatic Detection of Critical Dermoscopy Features for Malignant Melanoma Diagnosis

Author

William V. Stoecker
Randy Hays Moss, Missouri University of Science and TechnologyFollow
R. Joe Stanley, Missouri University of Science and TechnologyFollow
Xiaohe Chen
Kapil Gupta
Bijaya Shrestha, Missouri University of Science and TechnologyFollow
Pavani Jella

Abstract

Improved methods for computer-aided analysis of identifying features of skin lesions from digital images of the lesions are provided. Improved preprocessing of the image that 1) eliminates artifacts that occlude or distort skin lesion features and 2) identifies groups of pixels within the skin lesion that represent features and/or facilitate the quantification of features are provided including improved digital hair removal algorithms. Improved methods for analyzing lesion features are also provided.

Recommended Citation

W. V. Stoecker et al., "Automatic Detection of Critical Dermoscopy Features for Malignant Melanoma Diagnosis,", Mar 2010.

Department(s)

Electrical and Computer Engineering

Comments

Current Assignee: Stoecker and Associates, a subsidiary of Dermatology Center LLC; University of Missouri System

Adjusted expiration date 02 Oct 2028

Patent Application Number

US11/421,031

Patent Number

US7689016B2

Document Type

Patent

Document Version

Final Version

File Type

text

Language(s)

English

Publication Date

30 Mar 2010