Melanoma identification using convolutional neural networks
| dc.contributor.author | Louifi, Akram | |
| dc.contributor.author | Soulami, Ameur | |
| dc.contributor.author | Cherifi, Dalila ( supervisor) | |
| dc.date.accessioned | 2022-02-06T12:13:56Z | |
| dc.date.available | 2022-02-06T12:13:56Z | |
| dc.date.issued | 2018 | |
| dc.description | 36 p. | en_US |
| dc.description.abstract | Melanoma is an extremely dangerous type of skin cancer causing fatal incidences, it’s also an increasing form of cancer around the world. Since the odds of recovering for the early-diagnosed cases is very high, early detection of melanoma is vital. Computer assisted diagnosis have been used alongside traditional techniques so as to improve the reliability of detecting melanoma. In this project, a convolutional Neural network model designed from scratch as well as Transfer Learning using the pretrained model Inception v3 are used in order to develop a reliable tool able to detect melanoma that can used by | en_US |
| dc.description.sponsorship | Université M'Hamed Bougara Boummerdes : Institut genie électrique et électronique | en_US |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz/handle/123456789/7586 | |
| dc.language.iso | en | en_US |
| dc.subject | Artificial neural networks | en_US |
| dc.subject | Melanoma skin cancer | en_US |
| dc.title | Melanoma identification using convolutional neural networks | en_US |
| dc.type | Thesis | en_US |
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