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. 2019 Dec 4;8:4300113. doi: 10.1109/JTEHM.2019.2955458

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FIGURE 5. — Our 3DDCNN model for False Positive Reduction comprising of Convolutional Layer and , Residual Unit , , Classification (cls) and Regression (rgs) layers, Scoring Layer and Output Layer generating the malignancy score based classification as nodule (malignant or benign) or non-nodule.

Inline graphic — Our 3DDCNN model for False Positive Reduction comprising of Convolutional Layer and , Residual Unit , , Classification (cls) and Regression (rgs) layers, Scoring Layer and Output Layer generating the malignancy score based classification as nodule (malignant or benign) or non-nodule.