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OverviewFull Product DetailsAuthor: Chao Li , Wenjian Qin , Jia Wu , Nazar ZakiPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG ISBN: 9783032066237ISBN 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 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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