273 related articles for article (PubMed ID: 16221139)
1. Pigment distribution in melanocytic lesion images: a digital parameter to be employed for computer-aided diagnosis.
Seidenari S; Pellacani G; Grana C
Skin Res Technol; 2005 Nov; 11(4):236-41. PubMed ID: 16221139
[TBL] [Abstract][Full Text] [Related]
2. Colors in atypical nevi: a computer description reproducing clinical assessment.
Seidenari S; Pellacani G; Grana C
Skin Res Technol; 2005 Feb; 11(1):36-41. PubMed ID: 15691257
[TBL] [Abstract][Full Text] [Related]
3. Asymmetry in dermoscopic melanocytic lesion images: a computer description based on colour distribution.
Seidenari S; Pellacani G; Grana C
Acta Derm Venereol; 2006; 86(2):123-8. PubMed ID: 16648914
[TBL] [Abstract][Full Text] [Related]
4. Colour clusters for computer diagnosis of melanocytic lesions.
Seidenari S; Grana C; Pellacani G
Dermatology; 2007; 214(2):137-43. PubMed ID: 17341863
[TBL] [Abstract][Full Text] [Related]
5. Algorithmic reproduction of asymmetry and border cut-off parameters according to the ABCD rule for dermoscopy.
Pellacani G; Grana C; Seidenari S
J Eur Acad Dermatol Venereol; 2006 Nov; 20(10):1214-9. PubMed ID: 17062034
[TBL] [Abstract][Full Text] [Related]
6. Sensitivity, specificity, and diagnostic accuracy of three dermoscopic algorithmic methods in the diagnosis of doubtful melanocytic lesions: the importance of light brown structureless areas in differentiating atypical melanocytic nevi from thin melanomas.
Annessi G; Bono R; Sampogna F; Faraggiana T; Abeni D
J Am Acad Dermatol; 2007 May; 56(5):759-67. PubMed ID: 17316894
[TBL] [Abstract][Full Text] [Related]
7. A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit: a preliminary report.
Manousaki AG; Manios AG; Tsompanaki EI; Panayiotides JG; Tsiftsis DD; Kostaki AK; Tosca AD
Int J Dermatol; 2006 Apr; 45(4):402-10. PubMed ID: 16650167
[TBL] [Abstract][Full Text] [Related]
8. Digital computer analysis of dermatoscopical images of 260 melanocytic skin lesions; perimeter/area ratio for the differentiation between malignant melanomas and melanocytic nevi.
Fikrle T; Pizinger K
J Eur Acad Dermatol Venereol; 2007 Jan; 21(1):48-55. PubMed ID: 17207167
[TBL] [Abstract][Full Text] [Related]
9. Pre-diagnostic digital imaging prediction model to discriminate between malignant melanoma and benign pigmented skin lesion.
Christensen JH; Soerensen MB; Linghui Z; Chen S; Jensen MO
Skin Res Technol; 2010 Feb; 16(1):98-108. PubMed ID: 20384888
[TBL] [Abstract][Full Text] [Related]
10. High-resolution ultrasound reflex transmission imaging and digital photography: potential tools for the quantitative assessment of pigmented lesions.
Rallan D; Dickson M; Bush NL; Harland CC; Mortimer P; Bamber JC
Skin Res Technol; 2006 Feb; 12(1):50-9. PubMed ID: 16420539
[TBL] [Abstract][Full Text] [Related]
11. The performance of SolarScan: an automated dermoscopy image analysis instrument for the diagnosis of primary melanoma.
Menzies SW; Bischof L; Talbot H; Gutenev A; Avramidis M; Wong L; Lo SK; Mackellar G; Skladnev V; McCarthy W; Kelly J; Cranney B; Lye P; Rabinovitz H; Oliviero M; Blum A; Varol A; De'Ambrosis B; McCleod R; Koga H; Grin C; Braun R; Johr R
Arch Dermatol; 2005 Nov; 141(11):1388-96. PubMed ID: 16301386
[TBL] [Abstract][Full Text] [Related]
12. Digital image analysis for diagnosis of cutaneous melanoma. Development of a highly effective computer algorithm based on analysis of 837 melanocytic lesions.
Blum A; Luedtke H; Ellwanger U; Schwabe R; Rassner G; Garbe C
Br J Dermatol; 2004 Nov; 151(5):1029-38. PubMed ID: 15541081
[TBL] [Abstract][Full Text] [Related]
13. Combination of features from skin pattern and ABCD analysis for lesion classification.
She Z; Liu Y; Damatoa A
Skin Res Technol; 2007 Feb; 13(1):25-33. PubMed ID: 17250529
[TBL] [Abstract][Full Text] [Related]
14. Unsupervised sub-segmentation for pigmented skin lesions.
Liu Z; Sun J; Smith M; Smith L; Warr R
Skin Res Technol; 2012 Feb; 18(1):77-87. PubMed ID: 21545650
[TBL] [Abstract][Full Text] [Related]
15. Correlation of image analysis features and visual morphology in melanocytic skin tumours using in vivo confocal laser scanning microscopy.
Lorber A; Wiltgen M; Hofmann-Wellenhof R; Koller S; Weger W; Ahlgrimm-Siess V; Smolle J; Gerger A
Skin Res Technol; 2009 May; 15(2):237-41. PubMed ID: 19622133
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic image analysis of malignant melanoma in in vivo confocal laser-scanning microscopy: a preliminary study.
Gerger A; Wiltgen M; Langsenlehner U; Richtig E; Horn M; Weger W; Ahlgrimm-Siess V; Hofmann-Wellenhof R; Samonigg H; Smolle J
Skin Res Technol; 2008 Aug; 14(3):359-63. PubMed ID: 19159384
[TBL] [Abstract][Full Text] [Related]
17. Digital dermoscopy in clinical practise: a three-centre analysis.
Wollina U; Burroni M; Torricelli R; Gilardi S; Dell'Eva G; Helm C; Bardey W
Skin Res Technol; 2007 May; 13(2):133-42. PubMed ID: 17374053
[TBL] [Abstract][Full Text] [Related]
18. Detection of melanoma from dermoscopic images of naevi acquired under uncontrolled conditions.
Tenenhaus A; Nkengne A; Horn JF; Serruys C; Giron A; Fertil B
Skin Res Technol; 2010 Feb; 16(1):85-97. PubMed ID: 20384887
[TBL] [Abstract][Full Text] [Related]
19. Automated extraction and description of dark areas in surface microscopy melanocytic lesion images.
Pellacani G; Grana C; Cucchiara R; Seidenari S
Dermatology; 2004; 208(1):21-6. PubMed ID: 14730232
[TBL] [Abstract][Full Text] [Related]
20. Simulation and analysis of optical skin lesion images.
She Z; Duller AW; Liu Y; Fish PJ
Skin Res Technol; 2006 May; 12(2):133-44. PubMed ID: 16626388
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]