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Fig. 1 | International Journal of Computational Intelligence Systems

Fig. 1

From: Smart Diagnosis of Cholangiocarcinoma from Microscopic Images Using a Modified Visual Geometry Group Network with Adaptive Augmentation

Fig. 1

The proposed Cholangiocarcinoma smart diagnosis workflow consists of various image preprocessing techniques like resizing, normalization, enhancement, histogram and augmentation techniques like rotation, zoom, flipping, shearning and brightness. Then we have a finalized dataset for training the pretrained and proposed framework. After that, we evaluate the model

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