Computational Mathematics Modeling in Cancer Analysis

Chapter 1 Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma

Chapter 2 Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma

Chapter 3 Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases

Chapter 4 MLCN: Metric Learning Constrained Network for Whole Slide Image Classification with Bilinear Gated Attention Mechanism

Chapter 5 NucDETR: End-to-End Transformer for Nucleus Detection in Histopathology Images

Chapter 6 Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors

Chapter 8 Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns

Chapter 9 Modality-Collaborative AI Model Ensemble for Lung Cancer Early Diagnosis

Chapter 10 Clustering-Based Multi-instance Learning Network for Whole Slide Image Classification

Chapter 11 Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification

Chapter 12 Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM

Chapter 13 Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy

Chapter 14 Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework

Chapter 15 Accurate Breast Tumor Identification Using Computational Ultrasound Image Features