Conditional adversarial segmentation and deep learning approach for skin lesion sub-typing from dermoscopic images-Reference-Cited by-同舟云学术

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Conditional adversarial segmentation and deep learning approach for skin lesion sub-typing from dermoscopic images

Published:2024-05-27 Issue:26 Volume:36 Page:16445-16463
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Mirunalini P.,Desingu Karthik,Aswatha S.,Deepika R.,Deepika V.,Jaisakthi S. M.^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-09964-9.pdf

Reference57 articles.

1. Abbasi NR, Shaw HM, Rigel DS et al (2004) Early diagnosis of cutaneous melanoma: revisiting the ABCD criteria. JAMA 292(22):2771–2776

2. Al-Masni MA, Kim DH, Kim TS (2020) Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification. Comput Methods Programs Biomed 190:105351

3. Azad R, Asadi-Aghbolaghi M, Fathy M, et al (2019) Bi-directional convlstm u-net with Densley connected convolutions. In: Proceedings of the IEEE/CVF international conference on computer vision workshops, pp 0–0

4. Barata C, Celebi ME, Marques JS (2019) A survey of feature extraction in dermoscopy image analysis of skin cancer. IEEE J Biomed Health Inform 23(3):1096–1109. https://doi.org/10.1109/JBHI.2018.2845939

5. Batista GE, Bazzan AL, Monard MC et al (2003) Balancing training data for automated annotation of keywords: a case study. Wob 3:10–8

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