Artificial intelligence and imaging for diagnostic and treatment challenges in breast care: first Deep Breast Workshop, Deep-Breath 2024 : held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings
Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis -- HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging -- DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-Modal Organ and Lesion Segmentation -- One for All: U...
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| Corporate Author: | |
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| Other Authors: | , , , , , , , , , , , , |
| Format: | Conference Paper |
| Language: | English |
| Published: |
Cham
Springer
[2025]
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| Series: | Lecture notes in computer science
15451 |
| DOI: | 10.1007/978-3-031-77789-9 |
| Subjects: | |
| Online Access: | Resolving-System, lizenzpflichtig: https://doi.org/10.1007/978-3-031-77789-9 |
| Author Notes: | Ritse M. Mann, Tianyu Zhang, Tao Tan, Luyi Han, Danial Truhn, Shuo Li, Yuan Gao, Shannon Doyle, Robert Martí Marly, Jakob Nikolas Kather, Katja Pinker-Domenig, Shandong Wu, Geert Litjens, editors |
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Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care: First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marr...
Springer International Publishing AG 2025
Conference Paper