141 related articles for article (PubMed ID: 20629732)
1. A support vector machine for decision support in melanoma recognition.
Gilmore S; Hofmann-Wellenhof R; Soyer HP
Exp Dermatol; 2010 Sep; 19(9):830-5. PubMed ID: 20629732
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automated decision support in melanocytic lesion management.
Gilmore SJ
PLoS One; 2018; 13(9):e0203459. PubMed ID: 30192804
[TBL] [Abstract][Full Text] [Related]
4. [Evaluation of the diagnosis of pigmented tumors of the skin and factors leading to a decision to excise. Dermatologists of the Postgraduate Association of Haute-Normandie].
Collas H; Delbarre M; De Preville PA; Courville P; Neveu C; Dompmartin A; Balguerie X; Lemaistre B; Rzeznik JC; Thiebot B; Boullie MC; Bravard P; Michel Y; Krug M; Le Corvaisier-Pieto C; Young P; Thomine E; Boivin C; Ziade J; Pellerin A; Hellot MF; Leroy D; Lauret P; Benichou J; Joly P
Ann Dermatol Venereol; 1999; 126(6-7):494-500. PubMed ID: 10495858
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. Dermoscopy and its role in diagnosing melanocytic lesions: a guide for pathologists.
Crotty KA; Menzies SW
Pathology; 2004 Oct; 36(5):470-7. PubMed ID: 15370118
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A comparison of machine learning methods for the diagnosis of pigmented skin lesions.
Dreiseitl S; Ohno-Machado L; Kittler H; Vinterbo S; Billhardt H; Binder M
J Biomed Inform; 2001 Feb; 34(1):28-36. PubMed ID: 11376540
[TBL] [Abstract][Full Text] [Related]
13. Lacunarity analysis: a promising method for the automated assessment of melanocytic naevi and melanoma.
Gilmore S; Hofmann-Wellenhof R; Muir J; Soyer HP
PLoS One; 2009 Oct; 4(10):e7449. PubMed ID: 19823688
[TBL] [Abstract][Full Text] [Related]
14. Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study.
Elbaum M; Kopf AW; Rabinovitz HS; Langley RG; Kamino H; Mihm MC; Sober AJ; Peck GL; Bogdan A; Gutkowicz-Krusin D; Greenebaum M; Keem S; Oliviero M; Wang S
J Am Acad Dermatol; 2001 Feb; 44(2):207-18. PubMed ID: 11174377
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided diagnosis of melanocytic lesions.
Stanganelli I; Brucale A; Calori L; Gori R; Lovato A; Magi S; Kopf B; Bacchilega R; Rapisarda V; Testori A; Ascierto PA; Simeone E; Ferri M
Anticancer Res; 2005; 25(6C):4577-82. PubMed ID: 16334145
[TBL] [Abstract][Full Text] [Related]
16. Surveillance of patients at high risk for cutaneous malignant melanoma using digital dermoscopy.
Bauer J; Blum A; Strohhäcker U; Garbe C
Br J Dermatol; 2005 Jan; 152(1):87-92. PubMed ID: 15656806
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Quantitative assessment of tumour extraction from dermoscopy images and evaluation of computer-based extraction methods for an automatic melanoma diagnostic system.
Iyatomi H; Oka H; Saito M; Miyake A; Kimoto M; Yamagami J; Kobayashi S; Tanikawa A; Hagiwara M; Ogawa K; Argenziano G; Soyer HP; Tanaka M
Melanoma Res; 2006 Apr; 16(2):183-90. PubMed ID: 16567974
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Multispectral imaging and artificial neural network: mimicking the management decision of the clinician facing pigmented skin lesions.
Carrara M; Bono A; Bartoli C; Colombo A; Lualdi M; Moglia D; Santoro N; Tolomio E; Tomatis S; Tragni G; Santinami M; Marchesini R
Phys Med Biol; 2007 May; 52(9):2599-613. PubMed ID: 17440255
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
