A weighted ensemble transfer learning approach for melanoma classification from skin lesion images-Reference-Cited by-同舟云学术

A weighted ensemble transfer learning approach for melanoma classification from skin lesion images

Published:2023-09-23 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Meswal Himanshi,Kumar Deepika,Gupta Aryan,Roy Sudipta^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/s11042-023-16783-y.pdf

Reference41 articles.

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2. Kassem M, Hosny K, Fouad M (2020) Skin lesions classification into eight classes for ISIC 2019 using deep convolutional neural network and transfer learning. IEEE Access 8:114822–114832. https://doi.org/10.1109/ACCESS.2020.3003890

3. Ashraf R, Afzal S, Rehman A, Gul S, Baber J, Bakhtyar M, Mehmood I, Song O, Maqsood M (2020) Region-of-interest based transfer learning assisted framework for skin cancer detection. IEEE Access 8:147858–147871. https://doi.org/10.1109/ACCESS.2020.3014701

4. Milton MAA (2019) Automated skin lesion classification using ensemble of deep neural networks in ISIC 2018: skin lesion analysis towards melanoma detection challenge, arXiv:1901.10802

5. Banasode P, Patil M, Ammanagi N (2021) A melanoma skin cancer detection using machine learning technique: support vector machine. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing, vol 1065, no. 1, p 012039

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