Digital image analysis for diagnosis of skin tumors.
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[1] P Bauer,et al. Digital epiluminescence microscopy: usefulness in the differential diagnosis of cutaneous pigmentary lesions. A statistical comparison between visual and computer inspection , 2000, Melanoma research.
[2] R. H. Moss,et al. Neural network diagnosis of malignant melanoma from color images , 1994, IEEE Transactions on Biomedical Engineering.
[3] Rosamaria Corona. Accuracy of Computer Diagnosis of Melanoma—Editor's Comment , 2003 .
[4] G. Cevenini,et al. Differentiation between pigmented Spitz naevus and melanoma by digital dermoscopy and stepwise logistic discriminant analysis , 2001, Melanoma research.
[5] J. Mayer,et al. Systematic review of the diagnostic accuracy of dermatoscopy in detecting malignant melanoma , 1997, The Medical journal of Australia.
[6] S. Madronich,et al. Skin cancer and UV radiation , 1993, Nature.
[7] A. Blum,et al. DIGITAL IMAGE ANALYSIS OF PIGMENTED LESIONS: THE TUEBINGER MOLE ANALYSER , 1999 .
[8] G Pellacani,et al. Digital videomicroscopy improves diagnostic accuracy for melanoma. , 1998, Journal of the American Academy of Dermatology.
[9] H. Haenssle,et al. Results from an observational trial: digital epiluminescence microscopy follow-up of atypical nevi increases the sensitivity and the chance of success of conventional dermoscopy in detecting melanoma. , 2006, The Journal of investigative dermatology.
[10] P Altmeyer,et al. Diagnostic and neural analysis of skin cancer (DANAOS). A multicentre study for collection and computer‐aided analysis of data from pigmented skin lesions using digital dermoscopy , 2003, The British journal of dermatology.
[11] G Pellacani,et al. Digital videomicroscopy and image analysis with automatic classification for detection of thin melanomas. , 1999, Melanoma research.
[12] Peter J. Frosch,et al. Computerized diagnosis of skin cancer using neural networks , 1998 .
[13] Andreas Blum,et al. Clear differences in hand‐held dermoscopes , 2006, Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG.
[14] M. Binder,et al. Epiluminescence microscopy. A useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists. , 1995, Archives of dermatology.
[15] H. Kittler,et al. Diagnostic accuracy of dermoscopy. , 2002, The Lancet. Oncology.
[16] Evgenia I. Tsompanaki,et al. A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit. A preliminary report , 2006, International journal of dermatology.
[17] W Abmayr,et al. Evaluation of different image acquisition techniques for a computer vision system in the diagnosis of malignant melanoma. , 1994, Journal of the American Academy of Dermatology.
[18] A. Green,et al. Computer image analysis in the diagnosis of melanoma. , 1994, Journal of the American Academy of Dermatology.
[19] 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.
[20] M. Oliviero,et al. Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study. , 2001, Journal of the American Academy of Dermatology.
[21] Hugues Talbot,et al. Automated Instrumentation for the Diagnosis of Invasive Melanoma: Image Analysis of Oil Epiluminescence Microscopy , 1997 .
[22] T. Schindewolf,et al. Classification of melanocytic lesions with color and texture analysis using digital image processing. , 1993, Analytical and quantitative cytology and histology.
[23] Riccardo Bono,et al. Melanoma Computer-Aided Diagnosis , 2004, Clinical Cancer Research.
[24] H Handels,et al. Computer-Supported Diagnosis of Melanoma in Profilometry , 1999, Methods of Information in Medicine.
[25] R P Braun,et al. Dermoscopy Key Points: Recommendations from the International Dermoscopy Society , 2006, Dermatology.
[26] Costantino Grana,et al. Computer description of colours in dermoscopic melanocytic lesion images reproducing clinical assessment , 2003 .
[27] G Rassner,et al. Clinical and Laboratory Investigations Digital image analysis for diagnosis of cutaneous melanoma. Development of a highly effective computer algorithm based on analysis of 837 melanocytic lesions , 2004 .
[28] Ralph Braun,et al. The performance of SolarScan: an automated dermoscopy image analysis instrument for the diagnosis of primary melanoma. , 2005, Archives of dermatology.
[29] T Fikrle,et al. Digital computer analysis of dermatoscopical images of 260 melanocytic skin lesions; perimeter/area ratio for the differentiation between malignant melanomas and melanocytic nevi , 2007, Journal of the European Academy of Dermatology and Venereology : JEADV.
[30] P. Barbini,et al. Digital dermoscopy analysis and artificial neural network for the differentiation of clinically atypical pigmented skin lesions: a retrospective study. , 2002, The Journal of investigative dermatology.
[31] C Bartoli,et al. Results obtained by using a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma , 1992, Melanoma research.
[32] N Cascinelli,et al. A possible new tool for clinical diagnosis of melanoma: the computer. , 1987, Journal of the American Academy of Dermatology.
[33] Giordana Dell'Eva,et al. Digital dermoscopy in clinical practise: a three‐centre analysis , 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.
[34] C. Grana,et al. Pigment distribution in melanocytic lesion images: a digital parameter to be employed for computer‐aided diagnosis , 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.
[35] W Abmayr,et al. Improving early recognition of malignant melanomas by digital image analysis in dermatoscopy. , 1997, Studies in health technology and informatics.
[36] H. Kittler,et al. Epiluminescence microscopy-based classification of pigmented skin lesions using computerized image analysis and an artificial neural network , 1998, Melanoma research.
[37] P Barbini,et al. Digital dermoscopy analysis for the differentiation of atypical nevi and early melanoma: a new quantitative semiology. , 1999, Archives of dermatology.
[38] P. Carli,et al. Baseline factors influencing decisions on digital follow-up of melanocytic lesions in daily practice: an Italian multicenter survey. , 2006, Journal of the American Academy of Dermatology.
[39] Milind Rajadhyaksha,et al. Differences between polarized light dermoscopy and immersion contact dermoscopy for the evaluation of skin lesions. , 2007, Archives of dermatology.
[40] D. Piccolo,et al. Clinical and Laboratory Investigations Dermoscopic diagnosis by a trained clinician vs. a clinician with minimal dermoscopy training vs. computer-aided diagnosis of 341 pigmented skin lesions: a comparative study , 2002 .