Effective melanoma classification using inter neighbour mean order interleaved pattern on dermoscopy images-Reference-Cited by-同舟云学术

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Effective melanoma classification using inter neighbour mean order interleaved pattern on dermoscopy images

Published:2023-09-05 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Seeja R. D.^ORCID,Geetha A.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16632-y.pdf

Reference54 articles.

1. Siegel RL, Miller KD, Fedewa SA, Ahnen DJ, Meester RG, Barzi A, Jemal A (2017) Colorectal cancer statistics. CA Cancer J Clin 67(3):177–193

2. Narayanan DL, Saladi RN, Fox JL (2010) Ultraviolet radiation and skin cancer. Int J Dermatol 49(9):978–986

3. Andre E, Brett K, Roberto AN, Justin K, Susan MS, Helen MB, Sebastian T (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115–118

4. Kittler H, Pehamberger H, Wolff K, Binder M (2002) Diagnostic accuracy of dermoscopy. Lancet Oncol 3(3):159–165

5. Olugbara OO, Taiwo TB, Heukelman D (2018) Segmentation of melanoma skin lesion using perceptual colour difference saliency with morphological analysis. Math Probl Eng 2018:1–19. https://doi.org/10.1155/2018/1524286

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantifying Fractal-Based Features in Dermoscopic Images for Skin Cancer Characterization;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

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