PH2 - A dermoscopic image database for research and benchmarking
- 1 July 2013
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Vol. 2013 (1094687X), 5437-5440
- https://doi.org/10.1109/embc.2013.6610779
Abstract
The increasing incidence of melanoma has recently promoted the development of computer-aided diagnosis systems for the classification of dermoscopic images. Unfortunately, the performance of such systems cannot be compared since they are evaluated in different sets of images by their authors and there are no public databases available to perform a fair evaluation of multiple systems. In this paper, a dermoscopic image database, called PH 2 , is presented. The PH 2 database includes the manual segmentation, the clinical diagnosis, and the identification of several dermoscopic structures, performed by expert dermatologists, in a set of 200 dermoscopic images. The PH 2 database will be made freely available for research and benchmarking purposes.Keywords
This publication has 11 references indexed in Scilit:
- Computerized analysis of pigmented skin lesions: A reviewArtificial Intelligence in Medicine, 2012
- An annotation tool for dermoscopic image segmentationPublished by Association for Computing Machinery (ACM) ,2012
- Fitzpatrick skin typing: Applications in dermatologyIndian Journal of Dermatology, Venereology and Leprology, 2009
- An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithmComputerized Medical Imaging and Graphics, 2008
- Dermoscopy: basic conceptsInternational Journal of Dermatology, 2008
- A methodological approach to the classification of dermoscopy imagesComputerized Medical Imaging and Graphics, 2007
- An Integrated Computer Supported Acquisition, Handling, and Characterization System for Pigmented Skin Lesions in Dermatological ImagesIEEE Transactions on Information Technology in Biomedicine, 2005
- Diagnostic accuracy of dermoscopyThe Lancet Oncology, 2002
- Automated melanoma recognitionIEEE Transactions on Medical Imaging, 2001
- A possible new tool for clinical diagnosis of melanoma: The computerJournal of the American Academy of Dermatology, 1987