108 related articles for article (PubMed ID: 34003756)
21. Fusion of Local and Global Feature Representation With Sparse Autoencoder for Improved Melanoma Classification.
Gajera HK; Nayak DR; Zaveri MA
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():5051-5054. PubMed ID: 36085953
[TBL] [Abstract][Full Text] [Related]
22. Maximum confidence hidden markov modeling for face recognition.
Chien JT; Liao CP
IEEE Trans Pattern Anal Mach Intell; 2008 Apr; 30(4):606-16. PubMed ID: 18276967
[TBL] [Abstract][Full Text] [Related]
23. Skin lesion computational diagnosis of dermoscopic images: Ensemble models based on input feature manipulation.
Oliveira RB; Pereira AS; Tavares JMRS
Comput Methods Programs Biomed; 2017 Oct; 149():43-53. PubMed ID: 28802329
[TBL] [Abstract][Full Text] [Related]
24. Integrated local binary pattern texture features for classification of breast tissue imaged by optical coherence microscopy.
Wan S; Lee HC; Huang X; Xu T; Xu T; Zeng X; Zhang Z; Sheikine Y; Connolly JL; Fujimoto JG; Zhou C
Med Image Anal; 2017 May; 38():104-116. PubMed ID: 28327449
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. 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]
27. Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
Yu Z; Jiang X; Zhou F; Qin J; Ni D; Chen S; Lei B; Wang T
IEEE Trans Biomed Eng; 2019 Apr; 66(4):1006-1016. PubMed ID: 30130171
[TBL] [Abstract][Full Text] [Related]
28. Segmentation of skin lesions from digital images using joint statistical texture distinctiveness.
Glaister J; Wong A; Clausi DA
IEEE Trans Biomed Eng; 2014 Apr; 61(4):1220-30. PubMed ID: 24658246
[TBL] [Abstract][Full Text] [Related]
29. Use of runs statistics for pattern recognition in genomic DNA sequences.
Cheung LW
J Comput Biol; 2004; 11(1):107-24. PubMed ID: 15072691
[TBL] [Abstract][Full Text] [Related]
30. Kernel sparse representation based model for skin lesions segmentation and classification.
Moradi N; Mahdavi-Amiri N
Comput Methods Programs Biomed; 2019 Dec; 182():105038. PubMed ID: 31437709
[TBL] [Abstract][Full Text] [Related]
31. Melanoma detection by analysis of clinical images using convolutional neural network.
Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SM; Jafari MH; Ward K; Najarian K
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1373-1376. PubMed ID: 28268581
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. 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]
34. Robust generative asymmetric GMM for brain MR image segmentation.
Ji Z; Xia Y; Zheng Y
Comput Methods Programs Biomed; 2017 Nov; 151():123-138. PubMed ID: 28946994
[TBL] [Abstract][Full Text] [Related]
35. Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma.
Jafari MH; Nasr-Esfahani E; Karimi N; Soroushmehr SMR; Samavi S; Najarian K
Int J Comput Assist Radiol Surg; 2017 Jun; 12(6):1021-1030. PubMed ID: 28342106
[TBL] [Abstract][Full Text] [Related]
36. A hierarchical three-step superpixels and deep learning framework for skin lesion classification.
Afza F; Sharif M; Mittal M; Khan MA; Jude Hemanth D
Methods; 2022 Jun; 202():88-102. PubMed ID: 33610692
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. BSREM Reconstruction for Improved Detection of In-Transit Metastases With Digital FDG-PET/CT in Patients With Malignant Melanoma.
Aljared A; Alharbi AA; Huellner MW
Clin Nucl Med; 2018 May; 43(5):370-371. PubMed ID: 29485444
[TBL] [Abstract][Full Text] [Related]
39. Texture based skin lesion abruptness quantification to detect malignancy.
Erol R; Bayraktar M; Kockara S; Kaya S; Halic T
BMC Bioinformatics; 2017 Dec; 18(Suppl 14):484. PubMed ID: 29297290
[TBL] [Abstract][Full Text] [Related]
40. Active Contours Based Segmentation and Lesion Periphery Analysis For Characterization of Skin Lesions in Dermoscopy Images.
Riaz F; Naeem S; Nawaz R; Coimbra MT
IEEE J Biomed Health Inform; 2019 Mar; 23(2):489-500. PubMed ID: 29993589
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
