A multi-stage semi-supervised learning approach to spine image segmentation

• المؤلف الرئيسي: Pan, Ruixiang
• مؤلفون آخرون: Lin Zhiping
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Engineering; Spine segmentation; Unet; Semi-supervised learning; Fracture; 2.5D; Multi-stage
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/174682

Spine segmentation in computed tomography (CT) images is critical for automatic analysis, especially when focusing on varied spinal regions. Despite having comprehensive annotations for normal vertebrae, the current dataset does not encompass fracture data, posing challenges for predictive modeli...