Title :
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
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;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.727381
