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AUTOMATIC DETECTION OF CRITICAL DERMOSCOPY FEATURES FOR MALIGNANT MELANOMA DIAGNOSIS

IP Title

Automatic Detection of Critical Dermocopy Features for Malignant Melanoma Diagnosis

Detailed Technology Description

None

Supplementary Information

Patent Number: US7689016B2
Application Number: US2006421031A
Inventor: Stoecker, William V. | Moss, Randy H. | Stanley, R. Joe | Chen, Xiaohe | Gupta, Kapil | Shrestha, Bijaya | Jella, Pavani
Priority Date: 27 May 2005
Priority Number: US7689016B2
Application Date: 30 May 2006
Publication Date: 30 Mar 2010
IPC Current: G06K000900
US Class: 382128
Assignee Applicant: Stoecker & Associates a subsidiary of The Dermatology Center LLC,Rolla | The Curators of the University of Missourilumbia
Title: Automatic detection of critical dermoscopy features for malignant melanoma diagnosis
Usefulness: Automatic detection of critical dermoscopy features for malignant melanoma diagnosis
Summary: For identifying a border between a skin lesion and surrounding skin on a digital image of a skin lesion (claimed).
Novelty: Identifying border between skin lesion and surrounding skin on digital image of skin lesion, by preprocessing image to identify pixels, determining lesion ratio estimate, inputting lesion ratio estimate into watershed algorithm

Industry

Disease Diagnostic/Treatment

Sub Category

Cancer/Tumor

Application Date

May 30, 2006

Application No.

7,689,016

Others

*Abstract

Abstract of US Patent Application 20060269111 - Automatic Detection of Critical Dermoscopy Features for Malignant Melanoma Diagnosis: 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.

*IP Issue Date

Mar 30, 2010

*IP Publication Date

Nov 30, 2006

*Principal Investigator

Name: Randy Moss

Department:

Name: William Stoecker

Department:

Name: R. Stanley

Department:

Name: Xiaohe Chen

Department:

Name: Kapil Gupta

Department:

Name: Raviraia Narayana

Department:

Name: Bijaya Shrestha

Department:

Name: Pavani Jella, Signal integrity Engineer

Department:

Country/Region

USA