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Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features.

, , , and . CARE@MICCAI, volume 10170 of Lecture Notes in Computer Science, page 1-13. Springer, (2016)

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Super-Resolution and Image Re-projection for Iris Recognition., , and . ISBA, page 1-7. IEEE, (2019)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)An architecture for the provision of content networks based on IMS, metadata, presence and P2P technologies., and . MNCNA, page 6. ACM, (2007)Exploring Texture Transfer Learning via Convolutional Neural Networks for Iris Super Resolution., and . BIOSIG, volume P-270 of LNI, page 195-202. GI / IEEE, (2017)Exploring deep learning image super-resolution for iris recognition., , , and . EUSIPCO, page 2176-2180. IEEE, (2017)WASMICO: Micro-containers in microcontrollers with WebAssembly., , , and . J. Syst. Softw., (2024)Using Neural Networks to Include Semantic Information into Classification., , , and . FLAIRS, page 92-97. AAAI Press, (2018)Self-adaptable slew rate control output buffer for embedded microcontroller port applications., , , and . SBCCI, page 205-209. ACM, (2008)