Computational Methods and Clinical Applications in Musculoskeletal Imaging

Chapter 1 Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images

Chapter 2 Fully Automatic Teeth Segmentation in Adult OPG Images

Chapter 3 Fully Automatic Planning of Total Shoulder Arthroplasty Without Segmentation: A Deep Learning Based Approach

Chapter 4 Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images

Chapter 6 Bone Adaptation as Level Set Motion

Chapter 7 Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting

Chapter 8 Perthes Disease Classification Using Shape and Appearance Modelling

Chapter 9 Deep Learning Based Rib Centerline Extraction and Labeling

Chapter 10 Automatic Detection of Wrist Fractures From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach

Chapter 11 Bone Reconstruction and Depth Control During Laser Ablation

Chapter 12 Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip

Chapter 13 Automated Measurement of Pelvic Incidence from X-Ray Images