Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics

[1]  Gerald Schaefer,et al.  Anisotropic Mean Shift Based Fuzzy C-Means Segmentation of Dermoscopy Images , 2009, IEEE Journal of Selected Topics in Signal Processing.

[2]  R P Braun,et al.  Computerized digital dermoscopy , 2003, Journal of cosmetic dermatology.

[3]  A. Marghoob,et al.  Can automated dermoscopy image analysis instruments provide added benefit for the dermatologist? A study comparing the results of three systems , 2007, The British journal of dermatology.

[4]  A. Marghoob,et al.  The "ugly duckling" sign: agreement between observers. , 2008, Archives of dermatology.

[5]  Constantine Butakoff,et al.  Independent Histogram Pursuit for Segmentation of Skin Lesions , 2008, IEEE Transactions on Biomedical Engineering.

[6]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  L. Maloney,et al.  Color Constancy, Lightness Constancy, and the Articulation Hypothesis , 2002, Perception.

[8]  Randy H. Moss,et al.  A methodological approach to the classification of dermoscopy images , 2007, Comput. Medical Imaging Graph..

[9]  M. Emre Celebi,et al.  A Feature‐Preserving Hair Removal Algorithm for Dermoscopy Images , 2013, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[10]  R Hofmann-Wellenhof,et al.  Patient acceptance and diagnostic utility of automated digital image analysis of pigmented skin lesions , 2012, Journal of the European Academy of Dermatology and Venereology : JEADV.

[11]  A. Kopf,et al.  Early detection of malignant melanoma: The role of physician examination and self‐examination of the skin , 1985, CA: a cancer journal for clinicians.

[12]  W. Stoecker,et al.  Unsupervised border detection in dermoscopy images , 2007, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[13]  Masafumi Hagiwara,et al.  An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm , 2008, Comput. Medical Imaging Graph..

[14]  Scott W Menzies,et al.  Automated diagnostic instruments for cutaneous melanoma. , 2008, Seminars in cutaneous medicine and surgery.

[15]  Giuseppe Argenziano,et al.  Three-Point Checklist of Dermoscopy , 2004, Dermatology.

[16]  Gerald Schaefer,et al.  Lesion border detection in dermoscopy images , 2009, Comput. Medical Imaging Graph..

[17]  H. Kittler,et al.  Diagnostic accuracy of dermoscopy. , 2002, The Lancet. Oncology.

[18]  T Lee,et al.  Dullrazor®: A software approach to hair removal from images , 1997, Comput. Biol. Medicine.

[19]  S. Menzies,et al.  Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta‐analysis of studies performed in a clinical setting , 2008, The British journal of dermatology.

[20]  Stein Olav Skrøvseth,et al.  Automatic Segmentation of Dermoscopic Images by Iterative Classification , 2011, Int. J. Biomed. Imaging.

[21]  K Wolff,et al.  In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesions. , 1987, Journal of the American Academy of Dermatology.

[22]  R. H. Moss,et al.  A systematic heuristic approach for feature selection for melanoma discrimination using clinical images , 2005, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[23]  S. Menzies,et al.  A sensitivity and specificity analysis of the surface microscopy features of invasive melanoma , 1996, Melanoma research.

[24]  Costantino Grana,et al.  Computer description of colours in dermoscopic melanocytic lesion images reproducing clinical assessment , 2003 .

[25]  R. Wolfe,et al.  Comparative performance of 4 dermoscopic algorithms by nonexperts for the diagnosis of melanocytic lesions. , 2005, Archives of dermatology.

[26]  Randy H. Moss,et al.  Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes , 2005, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[27]  Stein Olav Skrøvseth,et al.  Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists , 2014, Artif. Intell. Medicine.

[28]  A. Dixon,et al.  Skin cancer clinics in Australia: workload profile and performance indicators from an analysis of billing data , 2006, The Medical journal of Australia.

[29]  M. Aldeen,et al.  Optimized Weighted Performance Index for Objective Evaluation of Border-Detection Methods in Dermoscopy Images , 2011, IEEE Transactions on Information Technology in Biomedicine.

[30]  Mohammad Aldeen,et al.  Border detection in dermoscopy images using hybrid thresholding on optimized color channels , 2011, Comput. Medical Imaging Graph..

[31]  Esther de Vries,et al.  Incidence and trends of cutaneous malignancies in the Netherlands, 1989-2005. , 2010, The Journal of investigative dermatology.

[32]  Volodymyr I. Ponomaryov,et al.  Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation , 2012, Comput. Math. Methods Medicine.

[33]  Stein Olav Skrøvseth,et al.  Bayesian multiscale analysis of images modeled as Gaussian Markov random fields , 2012, Comput. Stat. Data Anal..

[34]  Michael A. King,et al.  Counting moles automatically from back images , 2005, IEEE Transactions on Biomedical Engineering.

[35]  C. Rosendahl,et al.  When algorithms falter: a case report of a very small melanoma excised due to the dermatoscopic “ugly duckling” sign , 2013, Dermatology practical & conceptual.

[36]  P. Schmid.  Segmentation of digitized dermatoscopic images by two-dimensional color clustering , 1999, IEEE Transactions on Medical Imaging.

[37]  G. Argenziano,et al.  Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. , 1998, Archives of dermatology.

[38]  Masafumi Hagiwara,et al.  Quantitative assessment of tumour extraction from dermoscopy images and evaluation of computer-based extraction methods for an automatic melanoma diagnostic system , 2006, Melanoma research.

[39]  M. G. Fleming,et al.  Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. , 2003, Journal of the American Academy of Dermatology.

[40]  Jeffrey E Gershenwald,et al.  Final version of 2009 AJCC melanoma staging and classification. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[41]  U. Ringborg,et al.  [Nevus or malignant melanoma? Correct diagnostic competence results in lower costs]. , 2008, Lakartidningen.

[42]  Rafael García,et al.  Computerized analysis of pigmented skin lesions: A review , 2012, Artif. Intell. Medicine.

[43]  C. Rosendahl,et al.  The impact of subspecialization and dermatoscopy use on accuracy of melanoma diagnosis among primary care doctors in Australia. , 2012, Journal of the American Academy of Dermatology.

[44]  A. Tenenhaus,et al.  Detection of melanoma from dermoscopic images of naevi acquired under uncontrolled conditions , 2010, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[45]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[46]  Costantino Grana,et al.  Automated description of colours in polarized-light surface microscopy images of melanocytic lesions , 2004, Melanoma research.

[47]  Randy H. Moss,et al.  Automatic detection of blue-white veil and related structures in dermoscopy images , 2008, Comput. Medical Imaging Graph..

[48]  Fred Godtliebsen,et al.  Unsupervised segmentation for digital dermoscopic images , 2010, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[49]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[50]  Xuelong Li,et al.  Mean shift based gradient vector flow for image segmentation , 2013, Comput. Vis. Image Underst..

[51]  Rita Cucchiara,et al.  A new algorithm for border description of polarized light surface microscopic images of pigmented skin lesions , 2003, IEEE Transactions on Medical Imaging.

[52]  Niloofar Gheissari,et al.  Segmentation of Dermoscopy Images Using Wavelet Networks , 2013, IEEE Transactions on Biomedical Engineering.

[53]  J. Kittler,et al.  Feature Set Search Alborithms , 1978 .

[54]  W. Stolz,et al.  The ABCD rule of dermatoscopy. High prospective value in the diagnosis of doubtful melanocytic skin lesions. , 1994, Journal of the American Academy of Dermatology.

[55]  S. Menzies,et al.  Accuracy of computer diagnosis of melanoma: a quantitative meta-analysis. , 2003, Archives of dermatology.

[56]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[57]  Claus Garbe,et al.  Melanoma epidemiology and trends. , 2009, Clinics in dermatology.

[58]  Junji Maeda,et al.  Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images , 2009, IEEE Journal of Selected Topics in Signal Processing.

[59]  M. Stella Atkins,et al.  A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting , 2009, MICCAI.

[60]  Gerald Schaefer,et al.  Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods , 2013, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[61]  Katherine S Panageas,et al.  Utility of lesion diameter in the clinical diagnosis of cutaneous melanoma. , 2008, Archives of dermatology.

[62]  Day Gr,et al.  Automated skin lesion screening--a new approach. , 2001 .

[63]  Alfonso Baldi,et al.  Definition of an automated Content-Based Image Retrieval (CBIR) system for the comparison of dermoscopic images of pigmented skin lesions , 2009, Biomedical engineering online.

[64]  R. Joe Stanley,et al.  Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images , 2011, Comput. Medical Imaging Graph..

[65]  Michael D Corbo,et al.  Agreement between Dermatologists and Primary Care Practitioners in the Diagnosis of Malignant Melanoma: Review of the Literature , 2012, Journal of cutaneous medicine and surgery.

[66]  Harald Ganster,et al.  Automated Melanoma Recognition , 2001, IEEE Trans. Medical Imaging.