NCA-GENM Exam Dumps | You are developing a generative A1 model for medical image segmentation using U-Net architecture. The

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Question 110/192

You are developing a generative A1 model for medical image segmentation using U-Net architecture. The input images are high- resolution MRI scans. Which of the following techniques would be MOST effective in mitigating the vanishing gradient problem during training, considering memory constraints on your GPU?

A. Using a smaller batch size and increasing the number of training epochs.

B. Replacing standard convolutional layers with transposed convolutional layers throughout the network.

C. Implementing skip connections within the U-Net architecture and using ReLU activation functions.

D. Increasing the depth of the U-Net and using sigmoid activation functions.

E. Employing gradient clipping and using Leaky ReLU or ELU activation functions.

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