Data Engineering in Medical Imaging

Chapter 1 Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels

Chapter 2 Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis

Chapter 3 A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation

Chapter 4 Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification

Chapter 5 Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications

Chapter 7 Procedurally Generated Colonoscopy and Laparoscopy Data for Improved Model Training Performance

Chapter 8 Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining

Chapter 9 Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registration for Image-Guided Navigation

Chapter 10 Vision Transformer-Based Self-supervised Learning for Ulcerative Colitis Grading in Colonoscopy

Chapter 11 Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy