117 related articles for article (PubMed ID: 29060843)
1. Automatic diagnosis of melanoma using linear and nonlinear features from digital image.
Munia TTK; Alam MN; Neubert J; Fazel-Rezai R
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():4281-4284. PubMed ID: 29060843
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automatic detection of melanoma using broad extraction of features from digital images.
Jafari MH; Samavi S; Karimi N; Soroushmehr SM; Ward K; Najarian K
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1357-1360. PubMed ID: 28268577
[TBL] [Abstract][Full Text] [Related]
4. Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.
Kaur R; Albano PP; Cole JG; Hagerty J; LeAnder RW; Moss RH; Stoecker WV
Skin Res Technol; 2015 Nov; 21(4):466-73. PubMed ID: 25809473
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
R D S; A S
Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
[TBL] [Abstract][Full Text] [Related]
6. Early melanoma diagnosis with mobile imaging.
Do TT; Zhou Y; Zheng H; Cheung NM; Koh D
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6752-7. PubMed ID: 25571546
[TBL] [Abstract][Full Text] [Related]
7. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms.
Premaladha J; Ravichandran KS
J Med Syst; 2016 Apr; 40(4):96. PubMed ID: 26872778
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. A cascade classifier for diagnosis of melanoma in clinical images.
Sabouri P; GholamHosseini H; Larsson T; Collins J
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6748-51. PubMed ID: 25571545
[TBL] [Abstract][Full Text] [Related]
11. Biologically Inspired QuadTree Color Detection in Dermoscopy Images of Melanoma.
Sabbaghi Mahmouei S; Aldeen M; Stoecker WV; Garnavi R
IEEE J Biomed Health Inform; 2019 Mar; 23(2):570-577. PubMed ID: 29993590
[TBL] [Abstract][Full Text] [Related]
12. An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach.
Nasir M; Attique Khan M; Sharif M; Lali IU; Saba T; Iqbal T
Microsc Res Tech; 2018 Jun; 81(6):528-543. PubMed ID: 29464868
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Automatic diagnosis of melanoma using machine learning methods on a spectroscopic system.
Li L; Zhang Q; Ding Y; Jiang H; Thiers BH; Wang JZ
BMC Med Imaging; 2014 Oct; 14():36. PubMed ID: 25311811
[TBL] [Abstract][Full Text] [Related]
15. Quantitative Comparison of Color Asymmetry Features for Automatic Melanoma Detection.
Srivastava R; Ong EP; Lee BH; Tan LS; Tey HL
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3753-3756. PubMed ID: 34892052
[TBL] [Abstract][Full Text] [Related]
16. Extraction of skin lesion texture features based on independent component analysis.
Tabatabaie K; Esteki A; Toossi P
Skin Res Technol; 2009 Nov; 15(4):433-9. PubMed ID: 19832954
[TBL] [Abstract][Full Text] [Related]
17. Automatic segmentation of dermoscopy images using saliency combined with Otsu threshold.
Fan H; Xie F; Li Y; Jiang Z; Liu J
Comput Biol Med; 2017 Jun; 85():75-85. PubMed ID: 28460258
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Segmentation of images of skin lesions using color and texture information of surface pigmentation.
Dhawan AP; Sicsu A
Comput Med Imaging Graph; 1992; 16(3):163-77. PubMed ID: 1623492
[TBL] [Abstract][Full Text] [Related]
20. Automatic differentiation of melanoma from dysplastic nevi.
Rastgoo M; Garcia R; Morel O; Marzani F
Comput Med Imaging Graph; 2015 Jul; 43():44-52. PubMed ID: 25797605
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
