Skin Cancer Detection and Classification Using DWT-GLCM with Probabilistic Neural Networks-Reference-Cited by-同舟云学术

Skin Cancer Detection and Classification Using DWT-GLCM with Probabilistic Neural Networks

Published:2023 Issue: Volume: Page:183-194
ISSN:2522-8595
Container-title:EAI/Springer Innovations in Communication and Computing
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Author:

Pandu J.,Kudtala Umadevi,Prabhakar B.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-15816-2_10

Reference14 articles.

1. Nasiri, Sara, et al. “DePicT Malignant Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images.” BMC bioinformatics 21.2 (2020): 1-13.

2. Munir, Khushboo, et al. “Cancer diagnosis using deep learning: a bibliographic review.” Cancers 11.9 (2019): 1235

3. Kadampur, Mohammad Ali, and Sulaiman Al Riyaee. “Skin cancer detection: applying a deep learning-based model driven architecture in the cloud for classifying dermal cell images.” Informatics in Medicine Unlocked 18 (2020): 100282.

4. Akram, Tallha, et al. “A multilevel features selection framework for skin lesion classification.” Human-centric Computing and Information Sciences 10 (2020): 1-26.

5. Marka, Arthur, et al. “Automated detection of nonMalignant skin cancer using digital images: a systematic review.” BMC medical imaging 19.1 (2019): 21.

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