Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique

K. Zuiderveld, “Graphics gems iv,” P. S. Heckbert, Ed. San Diego, CA, USA: Academic Press Professional, Inc., 1994, ch. Contrast Limited Adaptive Histogram Equalization, pp. 474–485. [Online]. Available: http://dl.acm.org/citation.cfm?id=180895.180940

1994

Earlier work this paper cites.

A. F. Frangi, W. J. Niessen, K. L. Vincken, and M. A. Viergever, “Multiscale vessel enhancement filtering,” in International Conference on Medical Image Computing and Computer-Assisted Intervention . Springer, 1998, pp. 130–137

1998

Earlier work this paper cites.

H. T. Lau and A. Al-Jumaily, “Automatically early detection of skin cancer: Study based on nueral netwok classification,” in 2009 International Conference of Soft Computing and Pattern Recognition , Dec 2009, pp. 375–380

2009

Cited alongside, same era.

R. Gonzalez, Digital Image Processing . Pearson Education, 2009. [Online]. Available: https://books.google.co.in/books?id=a62xQ2r_f8wC

2009

Cited alongside, same era.

“Skin cancer.” [Online]. Available: https://www.aad.org/public/diseases/skin-cancer

Cited in the paper.

A. K. Jain, “Data clustering: 50 years beyond k-means,” Pattern Recognition Letters , vol. 31, no. 8, pp. 651 – 666, 2010, award winning papers from the 19th International Conference on Pattern Recognition (ICPR)19th International Conference in Pattern Recognition (ICPR). [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0167865509002323

2010

Later among the works it cites.