Literature DB >> 1623495

Automatic detection of irregular borders in melanoma and other skin tumors.

J E Golston1, W V Stoecker, R H Moss, I P Dhillon.   

Abstract

An irregularity index previously developed is applied to detect irregular borders automatically in skin tumor images, particularly malignant melanoma. The irregularity index is used to classify various tumor borders as irregular or regular. This procedure processes tumor images with borders automatically determined by a radial search algorithm previously described. Potential use of this algorithm in an in vivo skin cancer detection system and errors expected in the use of the algorithm are discussed.

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Year:  1992        PMID: 1623495     DOI: 10.1016/0895-6111(92)90074-j

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  7 in total

1.  A systematic heuristic approach for feature selection for melanoma discrimination using clinical images.

Authors:  Ying Chang; R Joe Stanley; Randy H Moss; William Van Stoecker
Journal:  Skin Res Technol       Date:  2005-08       Impact factor: 2.365

2.  Colour analysis of skin lesion regions for melanoma discrimination in clinical images.

Authors:  Jixiang Chen; R Joe Stanley; Randy H Moss; William Van Stoecker
Journal:  Skin Res Technol       Date:  2003-05       Impact factor: 2.365

3.  Colour histogram analysis for melanoma discrimination in clinical images.

Authors:  Yunus Faziloglu; R Joe Stanley; Randy H Moss; William Van Stoecker; Rob P McLean
Journal:  Skin Res Technol       Date:  2003-05       Impact factor: 2.365

4.  Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection.

Authors:  Agustin Sancen-Plaza; Raul Santiago-Montero; Humberto Sossa; Francisco J Perez-Pinal; Juan J Martinez-Nolasco; Jose A Padilla-Medina
Journal:  BMC Med Inform Decis Mak       Date:  2018-06-27       Impact factor: 2.796

5.  A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images.

Authors:  Abder-Rahman Ali; Jingpeng Li; Guang Yang; Sally Jane O'Shea
Journal:  PeerJ Comput Sci       Date:  2020-06-29

Review 6.  Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms.

Authors:  Ammara Masood; Adel Ali Al-Jumaily
Journal:  Int J Biomed Imaging       Date:  2013-12-23

7.  A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images.

Authors:  Abder-Rahman Ali; Jingpeng Li; Summrina Kanwal; Guang Yang; Amir Hussain; Sally Jane O'Shea
Journal:  Front Med (Lausanne)       Date:  2020-07-07
  7 in total

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