A multi-stage semi-supervised learning approach to spine image segmentation
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...
Päätekijä: | |
---|---|
Muut tekijät: | |
Aineistotyyppi: | Thesis-Master by Coursework |
Kieli: | English |
Julkaistu: |
Nanyang Technological University
2024
|
Aiheet: | |
Linkit: | https://hdl.handle.net/10356/174682 |