Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/26274| Title: | Skin Lesion Diagnosis Using Convolutional Neural Networks |
| Authors: | Nunez, D Li, Y |
| Keywords: | skin cancer;skin lesion;medical imaging;deep learning;convolutional neural networks;DenseNet;ResNet;VGG |
| Issue Date: | 2023 |
| Publisher: | Springer Nature |
| Citation: | Nunez, D. and Li, Y. (2023) 'Skin Lesion Diagnosis Using Convolutional Neural Networks', Journal of Medical Systems, 0 (accepted, in press), pp. [1] - [14]. |
| URI: | https://bura.brunel.ac.uk/handle/2438/26274 |
| ISSN: | 0148-5598 |
| Other Identifiers: | ORCID iD: Yongmin Li https://orcid.org/0000-0003-1668-2440. |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 12 months after publication | 502.56 kB | Adobe PDF | View/Open |
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