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AI-900: Machine Learning Classification for Early Brain Haemorrhage Detection

Explore how machine learning classifies brain scan images for early detection of hemorrhage types. Learn how classification algorithms aid in precise and timely identification.

Table of Contents

Question

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.

You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.

This is an example of which type of machine learning?

A. clustering
B. regression
C. classification

Answer

C. classification

Explanation

This scenario exemplifies option C: classification. In this case, machine learning is utilized to categorize brain scan images into predefined types of brain hemorrhages. Classification algorithms are trained on the dataset to recognize patterns and characteristics specific to each hemorrhage type. Consequently, when new brain scan images are inputted, the model categorizes them into the respective hemorrhage types, aiding in early detection before human assessment.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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