Computational Mathematics Modeling in Cancer Analysis: 4th International Workshop, CMMCA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

Author:   Chao Li ,  Wenjian Qin ,  Jia Wu ,  Nazar Zaki
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032066237


Pages:   172
Publication Date:   27 September 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computational Mathematics Modeling in Cancer Analysis: 4th International Workshop, CMMCA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings


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Author:   Chao Li ,  Wenjian Qin ,  Jia Wu ,  Nazar Zaki
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032066237


ISBN 10:   3032066239
Pages:   172
Publication Date:   27 September 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- 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.

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