Simulation and analysis of optical skin lesion images

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)
Zhishun SheP J Fish

Abstract

In order to properly analyse the effectiveness of methods for optically differentiating malignant from benign skin lesions, it is necessary to have a set of images for which the ground truth is known. However, aspects of the ground truth of clinical images such as true lesion boundary position are unknown or not known precisely. Therefore, a skin/lesion image simulation with known features including boundary location, skin pattern and lesion colour is needed to enable accurate assessment of feature estimation algorithms for lesion classification. In this paper, monochrome and colour skin/lesion images are synthesised with known characteristics including boundary, colour and skin pattern. Skin pattern is simulated with segmented lines with variations in length, orientation and intensity. Skin and lesion textures are modelled by an auto-regressive (AR) process. Monochrome skin lesion images are obtained by combining monochrome skin and lesion textures under the control of a known lesion shape with the addition of skin pattern. Colour skin lesion images are generated by mixing coloured skin and lesion textures. Finally, an inflammation area and image artefacts such as hair and specular reflection are added. The synthesised images ...Continue Reading

References

May 1, 1992·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·A P Dhawan, A Sicsu
Oct 1, 1986·Journal of the American Academy of Dermatology·R M MacKie
Apr 1, 1997·IEEE Transactions on Medical Imaging·A YezziA Tannenbaum
Jan 23, 1998·Computers in Biology and Medicine·T LeeD McLean
Jun 29, 2001·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)·Andrew J. RoundPeter J. Fish
Jan 22, 2003·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)·Zhishun She, Peter J Fish

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Citations

Feb 15, 2011·Computers in Biology and Medicine·Kimia Kiani, Ahmad R Sharafat
Jul 25, 2009·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)·Yi DingRobert Warr
Sep 5, 2015·Cancer Growth and Metastasis·Lauren M SloskyTodd W Vanderah
Sep 26, 2020·Artificial Intelligence in Medicine·Mohamed AttiaAnousha Yazdabadi

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