Multiscale Multimodal Medical Imaging

Chapter 1 $$\mathrm {M^{2}F}$$ M 2 F : A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis

Chapter 2 Visual Modalities Based Multimodal Fusion for Surgical Phase Recognition

Chapter 3 Cross-Scale Attention Guided Multi-instance Learning for Crohn’s Disease Diagnosis with Pathological Images

Chapter 4 Vessel Segmentation via Link Prediction of Graph Neural Networks

Chapter 5 A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset

Chapter 6 Liver Segmentation Quality Control in Multi-sequence MR Studies

Chapter 7 Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI

Chapter 8 Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation

Chapter 9 Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study

Chapter 10 Coordinate Translator for Learning Deformable Medical Image Registration

Chapter 11 Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation

Chapter 12 Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans