Medical Image Learning with Limited and Noisy Data
Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Herausgegeben:Xue, Zhiyun; Antani, Sameer; Zamzmi, Ghada; Yang, Feng; Rajaraman, Sivaramakrishnan; Huang, Sharon Xiaolei; Linguraru, Marius George; Liang, Zhaohui
Medical Image Learning with Limited and Noisy Data
Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Herausgegeben:Xue, Zhiyun; Antani, Sameer; Zamzmi, Ghada; Yang, Feng; Rajaraman, Sivaramakrishnan; Huang, Sharon Xiaolei; Linguraru, Marius George; Liang, Zhaohui
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This book consists of full papers presented in the 2nd workshop of "Medical Image Learning with Noisy and Limited Data (MILLanD)" held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
- Shiliang SunMultiview Machine Learning103,99 €
- Artificial Neural Networks in Pattern Recognition52,99 €
- Deep Learning and Data Labeling for Medical Applications37,99 €
- Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis58,84 €
- Machine Learning in Medical Imaging37,99 €
- Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data37,99 €
- Algorithmic Learning Theory37,99 €
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The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
- Produktdetails
- Lecture Notes in Computer Science 14307
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-47196-4
- 1st ed. 2023
- Seitenzahl: 284
- Erscheinungstermin: 31. Oktober 2023
- Englisch
- Abmessung: 235mm x 155mm x 16mm
- Gewicht: 435g
- ISBN-13: 9783031471964
- ISBN-10: 3031471962
- Artikelnr.: 69012519
- Lecture Notes in Computer Science 14307
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-47196-4
- 1st ed. 2023
- Seitenzahl: 284
- Erscheinungstermin: 31. Oktober 2023
- Englisch
- Abmessung: 235mm x 155mm x 16mm
- Gewicht: 435g
- ISBN-13: 9783031471964
- ISBN-10: 3031471962
- Artikelnr.: 69012519