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Automated Content-Based Image Retrieval: Application on Dermoscopic Images of Pigmented Skin Lesions

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Skin Cancer

Part of the book series: Current Clinical Pathology ((CCPATH))

Abstract

Dermoscopy (dermatoscopy, epiluminescence microscopy) is a noninvasive diagnostic technique for the in vivo observation of pigmented skin lesions (PSLs). This diagnostic tool permits the recognition of morphologic structures not visible by the naked eye, thus opening a new dimension in the analysis of the clinical morphologic features of PSLs. Due to the difficulty and variability of human interpretation, computerized analysis of dermoscopy images has become an important research area in the last years. Recently, numerous systems designed to provide computer-aided analysis of digital images have been reported in literature. The goal of this chapter is to focus on the most recent approaches based on content-based image retrieval systems (CBIR).

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Acknowledgments

This work was supported by a grant from FUTURA-onlus to A.B. and by a grant from Regione Lazio (Legge 598/94 grant MCC-1792) to Advanced Computer System. A.B., R.M., and E.D. are scientific advisers of Advanced Computer System.

Author information

Authors and Affiliations

  1. Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Second University of Naples, Via L. Armanni 5, Naples, 80138, Italy

    Alfonso Baldi

  2. Futura-onlus, Via Pordenone 2, Rome, 00182, Italy

    Alfonso Baldi, Raffaele Murace & Emanuele Dragonetti

  3. Advanced Computer Systems (ACS), Via della Bufalotta 378, Rome, 00139, Italy

    Mario Manganaro & Stefano Bizzi

Authors
  1. Alfonso Baldi
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  2. Raffaele Murace
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  3. Emanuele Dragonetti
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  4. Mario Manganaro
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  5. Stefano Bizzi
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Corresponding author

Correspondence to Alfonso Baldi .

Editor information

Editors and Affiliations

  1. and Pharmaceutical Sciences and Technologies, Second University of Naples Department of Environmental, Biological, Naples, Italy

    Alfonso Baldi

  2. Department of Dermatology, Pius Hospital de Valls, Valls, Tarragona, Spain

    Paola Pasquali

  3. S.A.F.U. Department, Regina Elena Cancer Institute, Rome, Italy

    Enrico P Spugnini

Glossary

Content-based image retrieval (CBIR)

also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases.

Dermoscopy

A noninvasive diagnostic technique for the early diagnosis of melanoma and the evaluation of other pigmented and nonpigmented lesions on the skin that are not as well seen with the unaided eye.

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Baldi, A., Murace, R., Dragonetti, E., Manganaro, M., Bizzi, S. (2014). Automated Content-Based Image Retrieval: Application on Dermoscopic Images of Pigmented Skin Lesions. In: Baldi, A., Pasquali, P., Spugnini, E. (eds) Skin Cancer. Current Clinical Pathology. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4614-7357-2_35

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  • DOI: https://doi.org/10.1007/978-1-4614-7357-2_35

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4614-7356-5

  • Online ISBN: 978-1-4614-7357-2

  • eBook Packages: MedicineMedicine (R0)

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