Skin scar segmentation based on saliency detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-022-02635-7.pdf
Reference48 articles.
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2. Kumar, M., Alshehri, M., AlGhamdi, R., Sharma, P., Deep, V.: A DE-ANN inspired skin cancer detection approach using fuzzy C-means clustering. Mob. Netw. Appl. 25, 1319–1329 (2020)
3. Emre Celebi, M., Kingravi, H.A., Iyatomi, H., Alp Aslandogan, Y., Stoecker, W.V., Moss, R.H., et al.: Border detection in dermoscopy images using statistical region merging. Skin Res. Technol. 14, 347–353 (2008)
4. Dhane, D.M., Krishna, V., Achar, A., Bar, C., Sanyal, K., Chakraborty, C.: Spectral clustering for unsupervised segmentation of lower extremity wound beds using optical images. J. Med. Syst. 40, 207 (2016)
5. Zhou, H., Li, X., Schaefer, G., Celebi, M.E., Miller, P.: Mean shift based gradient vector flow for image segmentation. Comput. Vis. Image Underst. 117, 1004–1016 (2013)
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