NCA-GENM Exam Dumps | You are developing a multimodal system for medical diagnosis using MRI images and patient history text.

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Question 73/192

You are developing a multimodal system for medical diagnosis using MRI images and patient history text. Your initial model performs poorly on patients with rare conditions. Which of the following data augmentation techniques would be MOST effective in improving the model's performance on these under-represented cases?

A. Randomly cropping and rotating MRI images.

B. Back-translating the patient history text to generate paraphrased versions-

C. Using a Generative Adversarial Network (GAN) to synthesize new MRI images conditioned on the patient history text, specifically targeting the rare conditions-

D. Adding Gaussian noise to the pixel values of MRI images.

E. Replacing named entities in the patient history text with other random entities-

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