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Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks.

, , , , , , , and . ISBI, page 1044-1048. IEEE, (2017)

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Super-Resolution and Image Re-projection for Iris Recognition., , and . ISBA, page 1-7. IEEE, (2019)Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification., , , and . Comput. Math. Methods Medicine, (2016)Super-Resolution and Image Re-projection for Iris Recognition., , and . CoRR, (2022)Assessing the integration of ontology tools in content network architectures., and . EUROCON, page 1-4. IEEE, (2011)Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks., , , , , , , and . ISBI, page 1044-1048. IEEE, (2017)Colonic Polyp Classification with Convolutional Neural Networks., , and . CBMS, page 253-258. IEEE Computer Society, (2016)Exploring Deep Learning Image Super-Resolution for Iris Recognition., , , and . CoRR, (2023)Iris super-resolution using CNNs: is photo-realism important to iris recognition?, , and . CoRR, (2022)Using Neural Networks to Include Semantic Information into Classification., , , and . FLAIRS, page 92-97. AAAI Press, (2018)An architecture for the provision of content networks based on IMS, metadata, presence and P2P technologies., and . MNCNA, page 6. ACM, (2007)