Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation
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DOI: 10.1016/j.cmpb.2021.106363
Abstract: BACKGROUND AND OBJECTIVE Computer-aided diagnosis (CAD) systems promote accurate diagnosis and reduce the burden of radiologists. A CAD system for lung cancer diagnosis includes nodule candidate detection and nodule malignancy evaluation. Recently, deep learning-based pulmonary… read more here.
Keywords: radiology; malignancy; nodule malignancy; malignancy evaluation ... See more keywords