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...

Full description

Saved in:
Bibliographic Details
Corporate Author: Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, Marrakesch (Author)
Other Authors: Mann, Ritse M. (Editor) , Zhang, Tianyu (Editor) , Tan, Tao (Editor) , Han, Luyi (Editor) , Truhn, Daniel (Editor) , Li, Shuo (Editor) , Gao, Yuan (Editor) , Doyle, Shannon (Editor) , Martí Marly, Robert (Editor) , Kather, Jakob Nikolas (Editor) , Pinker-Domenig, Katja (Editor) , Wu, Shandong (Editor) , Litjens, Geert (Editor)
Format: Conference Paper
Language:English
Published: Cham Springer [2025]
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
Get full text
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