Computational Methods and Clinical Applications in Musculoskeletal Imaging: 6th International Worksh
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- Artikel-Nr.: 10387193
Beschreibung
Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images.- Fully automatic teeth segmentation in adult OPG images.- Fully Automatic Planning of Total Shoulder Arthroplasty without Segmentation: A Deep Learning Based Approach.- Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images.- Pelvis segmentation using multi-pass U-net and iterative shape estimation.- Bone Adaptation as Level Set Motion.- Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting.- Perthes Disease Classification Using Shape and Appearance Modelling.- Deep Learning Based Rib Centerline Extraction and Labeling.- Automatic Wrist Fracture Detection From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach.- Bone Reconstruction and Depth Control During Laser Ablation.- Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip.- Automated Measurement of Pelvic Incidence from X-Ray Images.
Eigenschaften
Breite: | 156 |
Gewicht: | 266 g |
Höhe: | 237 |
Länge: | 10 |
Seiten: | 153 |
Sprachen: | Englisch |
Autor: | Guoyan Zheng, Jianhua Yao, Jose M. Pozo, Tomaz Vrtovec |
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