Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks
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Publisher
Philadelphia: Taylor & Francis
Journal title
Language
English
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Publisher
Philadelphia: Taylor & Francis
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Scope and Contents
Contents
Skin cancer is a prevalent type of cancer that affects millions of people globally. However, detecting it can be a challenging task, even for specialized dermatologists. Early detection is crucial for successful treatment, and deep learning techniques, particularly deep convolutional neural networks (DCNNs), have shown tremendous potential in this...
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Full title
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks
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TN_cdi_proquest_journals_3145380806
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3145380806
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ISSN
0883-9514
E-ISSN
1087-6545
DOI
10.1080/08839514.2024.2364145
