323 related articles for article (PubMed ID: 27382567)
1. Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines.
Jaworek-Korjakowska J
Biomed Res Int; 2016; 2016():4381972. PubMed ID: 27382567
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence.
Jaworek-Korjakowska J; Kłeczek P
Biomed Res Int; 2016; 2016():8934242. PubMed ID: 26885520
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Computer-based classification of dermoscopy images of melanocytic lesions on acral volar skin.
Iyatomi H; Oka H; Celebi ME; Ogawa K; Argenziano G; Soyer HP; Koga H; Saida T; Ohara K; Tanaka M
J Invest Dermatol; 2008 Aug; 128(8):2049-54. PubMed ID: 18323788
[TBL] [Abstract][Full Text] [Related]
8. Validation of a Skin-Lesion Image-Matching Algorithm Based on Computer Vision Technology.
Chen RH; Snorrason M; Enger SM; Mostafa E; Ko JM; Aoki V; Bowling J
Telemed J E Health; 2016 Jan; 22(1):45-50. PubMed ID: 26218353
[TBL] [Abstract][Full Text] [Related]
9. Skin lesion classification with ensembles of deep convolutional neural networks.
Harangi B
J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
[TBL] [Abstract][Full Text] [Related]
10. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms.
Alsaade FW; Aldhyani THH; Al-Adhaileh MH
Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044
[TBL] [Abstract][Full Text] [Related]
11. Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomas.
Liu Z; Sun J; Smith L; Smith M; Warr R
Med Biol Eng Comput; 2012 May; 50(5):503-13. PubMed ID: 22438064
[TBL] [Abstract][Full Text] [Related]
12. Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images.
Marchetti MA; Codella NCF; Dusza SW; Gutman DA; Helba B; Kalloo A; Mishra N; Carrera C; Celebi ME; DeFazio JL; Jaimes N; Marghoob AA; Quigley E; Scope A; Yélamos O; Halpern AC;
J Am Acad Dermatol; 2018 Feb; 78(2):270-277.e1. PubMed ID: 28969863
[TBL] [Abstract][Full Text] [Related]
13. Fusing fine-tuned deep features for skin lesion classification.
Mahbod A; Schaefer G; Ellinger I; Ecker R; Pitiot A; Wang C
Comput Med Imaging Graph; 2019 Jan; 71():19-29. PubMed ID: 30458354
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Melanoma Skin Cancer Detection based on Image Processing.
Zghal NS; Derbel N
Curr Med Imaging Rev; 2020; 16(1):50-58. PubMed ID: 31989893
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features.
Mete M; Sirakov NM
Comput Med Imaging Graph; 2012 Oct; 36(7):572-9. PubMed ID: 22819294
[TBL] [Abstract][Full Text] [Related]
19. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
[TBL] [Abstract][Full Text] [Related]
20. Computer-aided classification of melanocytic lesions using dermoscopic images.
Ferris LK; Harkes JA; Gilbert B; Winger DG; Golubets K; Akilov O; Satyanarayanan M
J Am Acad Dermatol; 2015 Nov; 73(5):769-76. PubMed ID: 26386631
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
