The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Border detection in dermoscopy images using statistical region merging
Open accessAbstract
Background: As a result of advances in skin imaging technology and the development of suitable image processing techniques, during the last decade, there has been a significant increase of interest in the computer‐aided diagnosis of melanoma. Automated border detection is one of the most important steps in this procedure, because the accuracy of the subsequent steps crucially depends on it. Methods: In this article, we present a fast and unsupervised approach to border detection in dermoscopy images of pigmented skin lesions based on the statistical region merging algorithm. Results: The method is tested on a set of 90 dermoscopy images. The border detection error is quantified by a metric in which three sets of dermatologist‐determined borders are used as the ground‐truth. The proposed method is compared with four state‐of‐the‐art automated methods (orientation‐sensitive fuzzy c‐means, dermatologist‐like tumor extraction algorithm, meanshift clustering, and the modified JSEG method). Conclusion: The results demonstrate that the method presented here achieves both fast and accurate border detection in dermoscopy images.
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Cites
Jemal, A., Siegel, R., Ward, E., Murray, T., Xu, J., & Thun, M. J. (2007) · CA: A Cancer Journal for Clinicians · doi:10.3322/canjclin.57.1.43 · Cited by 7,439
Digital Image Processing: PIKS Scientific Inside
Pratt, W. K. (2007) · Wiley eBooks · doi:10.1002/0470097434 · Cited by 2,616
Nock, R., & Nielsen, F. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.110 · Cited by 815
Binder, M. (1995) · Archives of Dermatology · doi:10.1001/archderm.131.3.286 · Cited by 428
Binder, M. (1995) · Archives of Dermatology · doi:10.1001/archderm.1995.01690150050011 · Cited by 354
Fast median and bilateral filtering
Weiss, B. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141918 · Cited by 346
Segmentation of digitized dermatoscopic images by two-dimensional color clustering
Schmid, P. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.759124 · Cited by 285
Segmentation of skin cancer images
Xu, L., Jackowski, M., Goshtasby, A., Roseman, D., Bines, S., Yu, C., Dhawan, A., & Huntley, A. (1999) · Image and Vision Computing · doi:10.1016/s0262-8856(98)00091-2 · Cited by 236
Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes
Erkol, B., Moss, R. H., Joe Stanley, R., Stoecker, W. V., & Hvatum, E. (2005) · Skin Research and Technology · doi:10.1111/j.1600-0846.2005.00092.x · Cited by 233
Self-citationUnsupervised border detection in dermoscopy images
Emre Celebi, M., Alp Aslandogan, Y., Stoecker, W. V., Iyatomi, H., Oka, H., & Chen, X. (2007) · Skin Research and Technology · doi:10.1111/j.1600-0846.2007.00251.x · Cited by 187
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Lesion border detection in dermoscopy images
Celebi, M. E., Iyatomi, H., Schaefer, G., & Stoecker, W. V. (2009) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2008.11.002 · Cited by 422
Self-citationComputer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
Masood, A., & Ali Al-Jumaily, A. (2013) · International Journal of Biomedical Imaging · doi:10.1155/2013/323268 · Cited by 347
A systematic survey of computer-aided diagnosis in medicine: Past and present developments
Yanase, J., & Triantaphyllou, E. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2019.112821 · Cited by 303
Fusing fine-tuned deep features for skin lesion classification
Mahbod, A., Schaefer, G., Ellinger, I., Ecker, R., Pitiot, A., & Wang, C. (2019) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2018.10.007 · Cited by 264
Melanoma Lesion Detection and Segmentation Using YOLOv4-DarkNet and Active Contour
Albahli, S., Nida, N., Irtaza, A., Yousaf, M. H., & Mahmood, M. T. (2020) · IEEE Access · doi:10.1109/access.2020.3035345 · Cited by 126
Metadata
- Authors
- Emre Celebi, M., Kingravi, H. A., Iyatomi, H., Alp Aslandogan, Y., Stoecker, W. V., Moss, R. H., Malters, J. M., Grichnik, J. M., Marghoob, A. A., Rabinovitz, H. S., & Menzies, S. W.
- Venue
- Skin Research and Technology
- Publisher
- Wiley
- Published
- 2008-07-17
- Volume
- 14
- Issue
- 3
- Pages
- 347-353
- ISSN
- 0909-752X (ISSN-L)
- 1600-0846
- OpenAlex
- W2083652081
- Cited by
- 366
- References
- 15
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- green
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- Emre Celebi, M., Kingravi, H. A., Iyatomi, H., Alp Aslandogan, Y., Stoecker, W. V., Moss, R. H., Malters, J. M., Grichnik, J. M., Marghoob, A. A., Rabinovitz, H. S., & Menzies, S. W. (2008). Border detection in dermoscopy images using statistical region merging. Skin Research and Technology. https://doi.org/10.1111/j.1600-0846.2008.00301.x
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