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Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition

J.M. Akay, W. Schenck, in: M. Wand, K. Malinovská, J. Schmidhuber, I.V. Tetko (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, Springer Nature Switzerland, Cham, 2024, pp. 427–444.

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Konferenzbeitrag | Veröffentlicht | Englisch
Autor*in
Akay, Julien Marteen; Schenck, WolframFH Bielefeld
Herausgeber*in
Wand, Michael; Malinovská, Kristína; Schmidhuber, Jürgen; Tetko, Igor V.
Forschungsgruppe
CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie
Erscheinungsjahr
Titel des Konferenzbandes
Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII
Seite
427-444
Konferenz
33rd International Conference on Artificial Neural Networks
Konferenzort
Lugano, Switzerland
Konferenzdatum
2024-09-17 – 2024-09-20
ISSN
eISSN
FH-PUB-ID

Zitieren

Akay, Julien Marteen ; Schenck, Wolfram: Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In: Wand, M. ; Malinovská, K. ; Schmidhuber, J. ; Tetko, I. V. (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, Lecture Notes in Computer Science. Cham : Springer Nature Switzerland, 2024, S. 427–444
Akay JM, Schenck W. Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In: Wand M, Malinovská K, Schmidhuber J, Tetko IV, eds. Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2024:427-444. doi:10.1007/978-3-031-72353-7_31
Akay, J. M., & Schenck, W. (2024). Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In M. Wand, K. Malinovská, J. Schmidhuber, & I. V. Tetko (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII (pp. 427–444). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72353-7_31
@inproceedings{Akay_Schenck_2024, place={Cham}, series={Lecture Notes in Computer Science}, title={Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition}, DOI={10.1007/978-3-031-72353-7_31}, booktitle={Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII}, publisher={Springer Nature Switzerland}, author={Akay, Julien Marteen and Schenck, Wolfram}, editor={Wand, Michael and Malinovská, Kristína and Schmidhuber, Jürgen and Tetko, Igor V.Editors}, year={2024}, pages={427–444}, collection={Lecture Notes in Computer Science} }
Akay, Julien Marteen, and Wolfram Schenck. “Transferability of Non-Contrastive Self-Supervised Learning to Chronic Wound Image Recognition.” In Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, and Igor V. Tetko, 427–44. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72353-7_31.
J. M. Akay and W. Schenck, “Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition,” in Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, Lugano, Switzerland, 2024, pp. 427–444.
Akay, Julien Marteen, and Wolfram Schenck. “Transferability of Non-Contrastive Self-Supervised Learning to Chronic Wound Image Recognition.” Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, edited by Michael Wand et al., Springer Nature Switzerland, 2024, pp. 427–44, doi:10.1007/978-3-031-72353-7_31.

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