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| Link zu diesem Datensatz | https://d-nb.info/1377611809 |
| Titel | Computational Mathematics Modeling in Cancer Analysis : 4th International Workshop, CMMCA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings / edited by Chao Li, Wenjian Qin, Jia Wu, Nazar Zaki |
| Person(en) |
Li, Chao (Herausgeber) Qin, Wenjian (Herausgeber) Wu, Jia (Herausgeber) Zaki, Nazar (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XI, 172 p. 63 illus., 51 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-06623-7 Printed edition:: ISBN: 978-3-032-06625-1 |
| Inhalt | -- A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration. -- A Data-Driven Approach to Optimise Parameters of a Computational Digital Twin Model in Response to SBRT on MR-Linac. -- FMIC-AI: Annotation-Free Tumor Cell Detection in Fluorescence Microscopy via Self-Supervised Anomaly Detection. -- Score-based Diffusion Model for Unpaired Virtual Histology Staining. -- Redefining Spectral Unmixing for In-Vivo BrainTissue Analysis from Hyperspectral Imaging. -- CT Image Segmentation Using Frequency Domain Feature-Assisted Selective Long Memory State Space Model. -- Towards Robust Skin Lesion Classification: Lesion Segmentation, Mole Collision Simulation and Hierarchical learning. -- Key Clinical Parameters Detection and Ovarian Tumor Benign/Malignant Classification in Multi-Modal Ultrasound Images via a Multi-Task Model. -- OG-SAM: Enhancing Multi-Organ Segmentation with Organogenesis-Based Adaptive Modeling. -- CoMoSeg: Anatomical Consistency and Cross Modality Guidance for Robust Brain Tumor Segmentation Using Partially Labeled MR Sequences. -- Region-aware Diagnosis of Clinically Significant Prostate Cancer via Semi-supervised Learning Segmentation. -- GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis. -- Dual-Guided 3D Liver CT Image Generation for Medical Analysis. -- HaDM-ST: Histology-Assisted Differential Modeling for Spatial Transcriptomics Generation. -- Projection-Driven Robust Motion Compensation for CBCT Using a Patient-Specific Model Learned from Prior Scans. -- Revealing New Possibilities for Breast MRI Enhancement: Mamba-Driven Cross-Attention GAN with VMKANet. -- Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2509270406331.257320251548 DOI: 10.1007/978-3-032-06624-4 |
| URL | https://doi.org/10.1007/978-3-032-06624-4 |
| ISBN/Einband/Preis | 978-3-032-06624-4 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 16178 |
| DDC-Notation | 616.994 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |
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