Machine learning-based bimodal image omics ground glass nodule classification method
A radiomics and machine learning technology, applied in the medical field, can solve the problem of not considering nonlinear factors, and achieve the effect of improving prediction efficiency, good robustness and high accuracy
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[0024] A machine learning-based dual-modality radiomics classification method for ground-glass nodules, such as Figure 1-2 shown, including the following steps:
[0025] Step 1: Case data collection
[0026] Collection accepted for suspicious pulmonary GGN 18 Patients with F-FDG PET / CT examination;
[0027] Inclusion criteria: 0.8cm≤GGN≤3cm; PET / CT scan and breath-hold chest CT scan were performed at the same time; the lesion was surgically resected within 1 month after the PET / CT examination and the pathological data were complete;
[0028] Exclusion criteria: patients with poor image quality or lesions below 64 voxels in PET imaging; patients who have received any anti-tumor therapy within 5 years; patients with lung cancer stage IB and above; patients with fasting blood glucose > 11.1mmol / L ; Patients with severely impaired liver function (serum alanine aminotransferase or aspartate aminotransferase exceeds 5 times the upper limit of normal value);
[0029] Step 2: Ima...
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