Skin Cancer Classification Using Machine Learning and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Skin Cancer Classification Using Machine Learning and Convolutional Neural Networks

Published:2023 Issue: Volume: Page:481-492
ISSN:2367-3370
Container-title:ICT Analysis and Applications
language:
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Author:

Patel Nidhi,Marathe Aarnav,Jasani Vihaan,Rathod Mansing

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-6568-7_44

Reference13 articles.

1. Gavrilov D, Lazarenko L, Zakirov E (2019) AI recognition in skin pathologies detection. In: 2019 International conference on artificial intelligence: applications and innovations (IC-AIAI), 2019, pp 54–542. https://doi.org/10.1109/IC-AIAI48757.2019.00017

2. Lin C-H, Lin C-S, Chou P-Y, Hsu C-C (2021) An Efficient data augmentation network for out-of-distribution image detection. IEEE Access 9:35313–35323. https://doi.org/10.1109/ACCESS.2021.3062187

3. Mishra J, Ghosh S, Raj A (2013) Uncertain query processing using vague sets: a better approach. In; Third international conference on computational intelligence and information technology (CIIT 2013), 2013, pp 52–60. https://doi.org/10.1049/cp.2013.2572

4. Bagchi S, Banerjee A, Bathula DR (2020) Learning a meta-ensemble technique for skin lesion classification and novel class detection. In: 2020 IEEE/CVF conference on computer vision and pattern recognition workshops (CVPRW), 2020, pp 3221–3228.https://doi.org/10.1109/CVPRW50498.2020.00381

5. Shang H, Sun Z, Fu X, Zhang Z, Yang W (2019) What and how other datasets can be leveraged for medical imaging classification. In: 2019 IEEE 16th International symposium on biomedical imaging (ISBI 2019), 2019, pp 814–818. https://doi.org/10.1109/ISBI.2019.8759148

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. Advancements of Skin Cancer Classification using Transfer Learning Segmentation;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

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