Classification of Dermatological Asymmetry of the Skin Lesions Using Pretrained Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Classification of Dermatological Asymmetry of the Skin Lesions Using Pretrained Convolutional Neural Networks

Published:2021 Issue: Volume: Page:3-14
ISSN:0302-9743
Container-title:Artificial Intelligence and Soft Computing
language:
Short-container-title:

Author:

Beczkowski Michał^ORCID,Borowski Norbert^ORCID,Milczarski Piotr^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87897-9_1

Reference23 articles.

1. European Cancer Information System (ECIS). https://ecis.jrc.ec.europa.eu. Accessed 05 Jan 2021

2. ACS – American Cancer Society. https://www.cancer.org/research/cancer-facts-statistics.html. Accessed 05 Jan 2021

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);L Was,2018

4. Celebi, M.E., Kingravi, H.A., Uddin, B.: A methodological approach to the classification of dermoscopy images. Comput Med. Imaging Graph. 31(6), 362–373 (2007)

5. Soyer, H.P., Argenziano, G., Zalaudek, I., et al.: Three-point checklist of dermoscopy. A new screening method for early detection of melanoma. Dermatology 208(1), 27–31 (2004)

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. Enhancing Dermoscopic Features Classification in Images Using Invariant Dataset Augmentation and Convolutional Neural Networks;Neural Information Processing;2021

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