285 related articles for article (PubMed ID: 25571475)
1. Determination of border irregularity in dermoscopic color images of pigmented skin lesions.
Jaworek-Korjakowska J; Tadeusiewicz R
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6459-62. PubMed ID: 25571475
[TBL] [Abstract][Full Text] [Related]
2. Determination of border irregularity in dermoscopic color images of pigmented skin lesions.
Jaworek-Korjakowska J; Tadeusiewicz R
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():2665-8. PubMed ID: 26736840
[TBL] [Abstract][Full Text] [Related]
3. Novel Method for Border Irregularity Assessment in Dermoscopic Color Images.
Jaworek-Korjakowska J
Comput Math Methods Med; 2015; 2015():496202. PubMed ID: 26604980
[TBL] [Abstract][Full Text] [Related]
4. An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images.
Cavalcanti PG; Scharcanski J; Di Persia LE; Milone DH
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5993-6. PubMed ID: 22255705
[TBL] [Abstract][Full Text] [Related]
5. Density-based parallel skin lesion border detection with webCL.
Lemon J; Kockara S; Halic T; Mete M
BMC Bioinformatics; 2015; 16 Suppl 13(Suppl 13):S5. PubMed ID: 26423836
[TBL] [Abstract][Full Text] [Related]
6. Melanoma recognition in dermoscopy images using lesion's peripheral region information.
Tajeddin NZ; Asl BM
Comput Methods Programs Biomed; 2018 Sep; 163():143-153. PubMed ID: 30119849
[TBL] [Abstract][Full Text] [Related]
7. Automatic lesion border selection in dermoscopy images using morphology and color features.
Mishra NK; Kaur R; Kasmi R; Hagerty JR; LeAnder R; Stanley RJ; Moss RH; Stoecker WV
Skin Res Technol; 2019 Jul; 25(4):544-552. PubMed ID: 30868667
[TBL] [Abstract][Full Text] [Related]
8. Fast density-based lesion detection in dermoscopy images.
Mete M; Kockara S; Aydin K
Comput Med Imaging Graph; 2011 Mar; 35(2):128-36. PubMed ID: 20800995
[TBL] [Abstract][Full Text] [Related]
9. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images.
Abbas Q; Emre Celebi M; Garcia IF; Ahmad W
Skin Res Technol; 2013 Feb; 19(1):e93-102. PubMed ID: 22672769
[TBL] [Abstract][Full Text] [Related]
10. Border detection in dermoscopy images using statistical region merging.
Celebi ME; Kingravi HA; Iyatomi H; Aslandogan YA; Stoecker WV; Moss RH; Malters JM; Grichnik JM; Marghoob AA; Rabinovitz HS; Menzies SW
Skin Res Technol; 2008 Aug; 14(3):347-53. PubMed ID: 19159382
[TBL] [Abstract][Full Text] [Related]
11. Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images.
Kaya S; Bayraktar M; Kockara S; Mete M; Halic T; Field HE; Wong HK
BMC Bioinformatics; 2016 Oct; 17(Suppl 13):367. PubMed ID: 27766942
[TBL] [Abstract][Full Text] [Related]
12. Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes.
Erkol B; Moss RH; Stanley RJ; Stoecker WV; Hvatum E
Skin Res Technol; 2005 Feb; 11(1):17-26. PubMed ID: 15691255
[TBL] [Abstract][Full Text] [Related]
13. Objective evaluation of methods for border detection in dermoscopy images.
Celebi ME; Schaefer G; Iyatomi H
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3056-9. PubMed ID: 19163351
[TBL] [Abstract][Full Text] [Related]
14. A novel cumulative level difference mean based GLDM and modified ABCD features ranked using eigenvector centrality approach for four skin lesion types classification.
Wahba MA; Ashour AS; Guo Y; Napoleon SA; Elnaby MMA
Comput Methods Programs Biomed; 2018 Oct; 165():163-174. PubMed ID: 30337071
[TBL] [Abstract][Full Text] [Related]
15. Combined Spline and B-spline for an improved automatic skin lesion segmentation in dermoscopic images using optimal color channel.
Abbas AA; Guo X; Tan WH; Jalab HA
J Med Syst; 2014 Aug; 38(8):80. PubMed ID: 24957396
[TBL] [Abstract][Full Text] [Related]
16. An improved border detection in dermoscopy images for density based clustering.
Suer S; Kockara S; Mete M
BMC Bioinformatics; 2011 Oct; 12 Suppl 10(Suppl 10):S12. PubMed ID: 22166058
[TBL] [Abstract][Full Text] [Related]
17. A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images.
Abbas Q; Garcia IF; Emre Celebi M; Ahmad W; Mushtaq Q
Skin Res Technol; 2013 Feb; 19(1):e490-7. PubMed ID: 22882675
[TBL] [Abstract][Full Text] [Related]
18. Skin lesion image segmentation using Delaunay Triangulation for melanoma detection.
Pennisi A; Bloisi DD; Nardi D; Giampetruzzi AR; Mondino C; Facchiano A
Comput Med Imaging Graph; 2016 Sep; 52():89-103. PubMed ID: 27215953
[TBL] [Abstract][Full Text] [Related]
19. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification.
Chatterjee S; Dey D; Munshi S
Comput Methods Programs Biomed; 2019 Sep; 178():201-218. PubMed ID: 31416550
[TBL] [Abstract][Full Text] [Related]
20. A methodological approach to the classification of dermoscopy images.
Celebi ME; Kingravi HA; Uddin B; Iyatomi H; Aslandogan YA; Stoecker WV; Moss RH
Comput Med Imaging Graph; 2007 Sep; 31(6):362-73. PubMed ID: 17387001
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]