Early initiation of targeted treatment can prevent possible irreversible neurological complications of spondylodiscitis (SD) and/or spinal metastases (MET), but differentiation may be a diagnostic problem, especially in the early stages. Aim of this project is to build a neural network to distinguish SD and MET given the 31 radiomic features from lessions and discuss the efficiency of the model.
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Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks
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nssharmaofficial/Binary-classification-in-medicine
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Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks
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