most citedLesion Border Detection in Dermoscopy Images

425 citations · 840 across the 9 of their papers we have counts for

collaborators

9 papers

cs.GR2011183 cited

Improving the Performance of K-Means for Color Quantization

M. Emre Celebi

Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms.…

cs.CV2010425 cited

Lesion Border Detection in Dermoscopy Images

M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer +1

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…

cs.CV201020 cited

Fast Color Quantization Using Weighted Sort-Means Clustering

M. Emre Celebi

Color quantization is an important operation with numerous applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorit…

cs.CV201022 cited

Approximate Lesion Localization in Dermoscopy Images

M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer +1

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…

cs.CV201041 cited

An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images

M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi +3

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…

cs.CV20105 cited

Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations

M. Emre Celebi, Hassan A. Kingravi, Rastislav Lukac +1

Vector operators based on robust order statistics have proved successful in digital multichannel imaging applications, particularly color image filtering and enhancement, in dealin…