Letter to the Editor: radiomics-based distinction of small ( ≤ 2 cm) hepatocellular carcinoma and precancerous lesions based on unenhanced magnetic imaging resonance
In this study, 114 cases of hepatic nodules confirmed by histopathology were retrospectively analyzed. The support vector machine (SVM) machine learning model was used to cl assify and identify small Hepatocellular carcinoma (S-HCC, ≤2cm) and pre-HCC. The area under curve (AUC) values of the T1, FS-T2, and T1 + FS-T2 fusion models in the test set were 0.852, 0.903, and 0.921, respectively.
Source: Clinical Radiology - Category: Radiology Authors: Z. Hu, Z. Tian, X. Wei, Y. Chen Tags: Correspondence Source Type: research
More News: Cancer & Oncology | Carcinoma | Hepatocellular Carcinoma | Learning | Liver Cancer | Radiology | Study | Universities & Medical Training