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Fig. 5 | BMC Cancer

Fig. 5

From: An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer

Fig. 5

Two representative cases for the real output of the integrated model. (a). A 31-year-old female suffering from PTC with CLNM. The hand-crafted radiomics model outputs a probability of 48.30% for CLNM. The deep learning model outputs a probability of 81.77%, and the integrated model fuses the risk factors and gives a final probability of 94.32%. The result is inconsistent with the radiologist’s diagnosis, so the radiologist is recommended to conduct a second scan and then consult the classification provided by the integrated model. (b) A 28-year-old female suffering from PTC without CLNM. The hand-crafted radiomics model represented a probability of 46.20% for CLNM. The deep learning model and the integrated model output probabilities of 15.10% and 5.91%, respectively. The result is consistent with the diagnosis of the radiologist. CLNM, central lymph node metastasis; ETE, extrathyroidal extension; PTC, papillary thyroid carcinoma

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BMC Cancer

ISSN: 1471-2407

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