Overview of Advanced Computer Vision Systems for Skin Lesions Characterization

By Ilias Maglogiannis, Charalampos N. Doukas. IEEE Transactions on Information Technology in Biomedicine, 2009

365 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms (2013, methodology): “Some researchers [37, 43–48] reviewed and tried to critically examine image analysis techniques for diagnosis of skin cancer and compared diagnostic accuracy of experts dermoscopists with artificial intelligence and computer aided diagnosis.”
Computer Aided Melanoma Skin Cancer Detection Using Image Processing (2015, methodology): “…and circularity 9 Other studies, propose the circularity index, as a measure of irregularity of borders in dermoscopy images 14,1 The paper [11] gives the overview of the most important implementations in the literature and compares the performance of several classifiers on the specific…”
Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma (2016, background): “A review of literature for this purpose is available in [6] and [7].”
Melanoma detection by analysis of clinical images using convolutional neural network (2016, background): “Reviews of researches done in this field are given in [6] and [7].”
A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions (2013, background): “[40] for a review of the state of the art of computer vision system for skin lesion characterization.”