Abstract
For the Positron Emission Tomography/Computed Tomography (PET/CT) technology, the traditional vertebra spinal cord examination tumor shift examination, is decided by doctor itself experience because the experience determination easily to have the fail diagnosis probability, these fail diagnosis make the patient body huge burden, these risks use the Computer-aided diagnosis avoid, vertebra spinal cord and so on specific spot use computer precise computation, the design of calculating method strengthens forecast ability in the tumor position, urges the accuracy promotion, reduces the risk of fail diagnosis, this medical examination service is the indispensable diagnostic assistance. In our system, we can classify characteristics of the vertebra, the spinal cord and the tumor, identify vertebral metastases, and accumulate in the training data, which improve success ratio of the system automatic identification. The experimental results make the doctor’s Computer-aided examination and operation use of the three-dimensional model with the corresponding position and the tumor information.
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Chen, WM., Feng, CS. (2018). PET/CT Imaging Automated Classification, Structure Testing and Inspection of the Human Spinal Cord. In: Yen, N., Hung, J. (eds) Frontier Computing. FC 2016. Lecture Notes in Electrical Engineering, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-10-3187-8_14
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DOI: https://doi.org/10.1007/978-981-10-3187-8_14
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