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Fig. 1 | EURASIP Journal on Image and Video Processing

Fig. 1

From: HR-MPF: high-resolution representation network with multi-scale progressive fusion for pulmonary nodule segmentation and classification

Fig. 1

The architecture of our proposed framework for pulmonary nodule segmentation and classification. HR-MPF is a feature extraction network, and PDM generates segmented pulmonary nodules. Classification module differentiates benign and malignant pulmonary nodules. The discriminator jointly optimizes segmentation and classification of pulmonary nodules in which a loss function with boundary consistency constraint is proposed to calculate inconsistency between the boundaries of prediction and ground truth

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