Melanoma localization and classification through faster region-based convolutional neural network and SVM-Reference-Cited by-同舟云学术

Melanoma localization and classification through faster region-based convolutional neural network and SVM

Published:2021-06-15 Issue:19 Volume:80 Page:28953-28974
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Nawaz Marriam,Masood Momina,Javed Ali,Iqbal Javed,Nazir Tahira,Mehmood Awais,Ashraf Rehan^ORCID

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/s11042-021-11120-7.pdf

Reference57 articles.

1. Alcón JF, Ciuhu C, Ten Kate W, Heinrich A, Uzunbajakava N, Krekels G, Siem D, de Haan G (2009) Automatic imaging system with decision support for inspection of pigmented skin lesions and melanoma diagnosis. IEEE J Sel Top Signal Process 3(1):14–25

2. Al-Masni MA, Kim D-H, Kim T-S (2020) Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification. Comput Meth Prog Biomed 190:105351

3. Anthimopoulos M, Christodoulidis S, Ebner L, Christe A, Mougiakakou S (2016) Lung pattern classification for interstitial lung diseases using a deep convolutional neural network. IEEE Trans Med Imaging 35(5):1207–1216

4. Attia M, Hossny M, Nahavandi S, Yazdabadi A (2017) Skin melanoma segmentation using recurrent and convolutional neural networks. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp 292–296: IEEE

5. Badrinarayanan V, Handa A, Cipolla R (2015) Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling, arXiv preprint arXiv:.07293

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