Segmentation of dermatoscopic images by stabilized inverse diffusion equations

Author

Gao, Jianbo ; Zhang, Jun ; Fleming, Matthew G. ; Pollak, Ilya ; Cognetta, Armand B.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA

fYear

1998

fDate

4-7 Oct 1998

Firstpage

823

Abstract

Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas). These included 5 techniques previously used for segmentation of pigmented lesions, and several new techniques based on stabilized inverse diffusion equations (SIDE) and Markov random fields (MRF). Novel multiresolution implementations of the SIDE and MRF algorithms were created for this work. Techniques based on the SIDE and MRF algorithms produced the most accurate segmentations

Keywords

cancer; diffusion; image segmentation; medical image processing; optical microscopy; skin; Markov random fields; dermatoscopic images segmentation; lesion distinguishing from background; malignancy; medical diagnostic imaging; melanoma; moles; nevi; oil-immersion image; pigmented lesions; skin surface microscopy; stabilized inverse diffusion equations; Biomedical imaging; Educational institutions; Equations; Image color analysis; Image segmentation; Lesions; Malignant tumors; Markov random fields; Pigmentation; Skin;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.727381

Filename

727381