These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
376 related articles for article (PubMed ID: 30868667)
1. 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]
2. Biologically inspired skin lesion segmentation using a geodesic active contour technique. Kasmi R; Mokrani K; Rader RK; Cole JG; Stoecker WV Skin Res Technol; 2016 May; 22(2):208-22. PubMed ID: 26403797 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
6. 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]
7. 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]
8. 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]
9. Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images. Wang H; Moss RH; Chen X; Stanley RJ; Stoecker WV; Celebi ME; Malters JM; Grichnik JM; Marghoob AA; Rabinovitz HS; Menzies SW; Szalapski TM Comput Med Imaging Graph; 2011 Mar; 35(2):116-20. PubMed ID: 20970307 [TBL] [Abstract][Full Text] [Related]
10. Segmentation of skin lesions in dermoscopy images using fuzzy classification of pixels and histogram thresholding. Garcia-Arroyo JL; Garcia-Zapirain B Comput Methods Programs Biomed; 2019 Jan; 168():11-19. PubMed ID: 30527129 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. Three-phase general border detection method for dermoscopy images using non-uniform illumination correction. Norton KA; Iyatomi H; Celebi ME; Ishizaki S; Sawada M; Suzaki R; Kobayashi K; Tanaka M; Ogawa K Skin Res Technol; 2012 Aug; 18(3):290-300. PubMed ID: 22092500 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Border detection in dermoscopy images using hybrid thresholding on optimized color channels. Garnavi R; Aldeen M; Celebi ME; Varigos G; Finch S Comput Med Imaging Graph; 2011 Mar; 35(2):105-15. PubMed ID: 20832992 [TBL] [Abstract][Full Text] [Related]
17. Lesion border detection in dermoscopy images using ensembles of thresholding methods. Emre Celebi M; Wen Q; Hwang S; Iyatomi H; Schaefer G Skin Res Technol; 2013 Feb; 19(1):e252-8. PubMed ID: 22676490 [TBL] [Abstract][Full Text] [Related]
18. Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model. Xie F; Fan H; Li Y; Jiang Z; Meng R; Bovik A IEEE Trans Med Imaging; 2017 Mar; 36(3):849-858. PubMed ID: 27913337 [TBL] [Abstract][Full Text] [Related]
19. Hair detection and lesion segmentation in dermoscopic images using domain knowledge. Pathan S; Prabhu KG; Siddalingaswamy PC Med Biol Eng Comput; 2018 Nov; 56(11):2051-2065. PubMed ID: 29761315 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]