Amsterdam Gastroenterology Endocrinology Metabolism
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Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization
Kusters, C. H. J., Jaspers, T. J. M., Boers, T. G. W., Jong, M. R., Jukema, J. B., Fockens, K. N., de Groof, A. J., Bergman, J. J., van der Sommen, F. & de With, P. H. N., 1 Jan 2025, In: Medical image analysis. 99, 103348.Research output: Contribution to journal › Article* › Academic › peer-review
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Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett’s Neoplasia
Kusters, C. H. J., Boers, T. G. W., Jaspers, T. J. M., Jong, M. R., van Eijck van Heslinga, R. A. H., de Groof, A. J., Bergman, J. J., van der Sommen, F. & de With, P. H. N., 2025, Cancer Prevention, Detection, and Intervention - 3rd MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Proceedings. Ali, S., van der Sommen, F., Kolenbrander, I., Papież, B. W., Ghatwary, N. & Jin, Y. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 15199 LNCS. p. 83-92 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15199 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution* › Academic › peer-review
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Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency
Boers, T. G. W., Fockens, K. N., van der Putten, J. A., Jaspers, T. J. M., Kusters, C. H. J., Jukema, J. B., Jong, M. R., Struyvenberg, M. R., de Groof, J., Bergman, J. J., de With, P. H. N. & van der Sommen, F., 1 Dec 2024, In: Medical image analysis. 98, 103298.Research output: Contribution to journal › Article* › Academic › peer-review
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