Answer-first summary for fast verification
Answer: Use the 'Extract Text from Images' feature and apply custom models to classify the abnormalities.
Option C is the correct answer. The 'Extract Text from Images' feature can be used to detect and classify abnormalities in medical images by applying custom models trained on a dataset of medical images. This approach can optimize performance and accuracy by focusing on the specific task of detecting and classifying abnormalities. Option A is incorrect because including all available features may not be necessary and could increase processing time. Option B is incorrect because the 'Generate Image Tags' feature is not suitable for classifying abnormalities in medical images. Option D is incorrect because the 'Convert Handwritten Text' feature is not relevant to the task of analyzing medical images.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You are tasked with developing an image processing application that needs to analyze a large dataset of medical images to detect and classify various abnormalities such as tumors, lesions, and fractures. Which Azure AI Vision feature would you use to meet this requirement, and how would you structure the image processing request to optimize performance and accuracy?
A
Use the 'Detect Objects' feature and include all available image analysis features in the request.
B
Use the 'Generate Image Tags' feature and include only the necessary image analysis features to reduce processing time.
C
Use the 'Extract Text from Images' feature and apply custom models to classify the abnormalities.
D
Use the 'Convert Handwritten Text' feature and combine it with custom machine learning models to detect and classify the abnormalities.
No comments yet.