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Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNN
2021
Computational Intelligence and Neuroscience
Thyroid nodule lesions are one of the most common lesions of the thyroid; the incidence rate has been the highest in the past thirty years. X-ray computed tomography (CT) plays an increasingly important role in the diagnosis of thyroid diseases. Nonetheless, as a result of the artifact and high complexity of thyroid CT image, the traditional machine learning method cannot be applied to CT image processing. In this paper, an end-to-end thyroid nodule automatic recognition and classification
doi:10.1155/2021/5540186
pmid:34135949
pmcid:PMC8175135
fatcat:kq6x4veljzgt7phubkeaacmtya