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Listening Quiz: Nghiên Cứu về Học Sâu trong Diễn Giải Chụp X-quang Vú – Medium Level
Th3 7, 2024
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Bác sĩ (English for Doctor)
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1.
What is Sarah’s research paper mainly about?
A research paper on deep learning for mammography interpretation
A study on how doctors interpret mammogram images without computers
A comparison of different hospital departments
A report about using surgery to treat breast cancer
Explanation:
Sarah says her presentation is about deep learning in mammography, and the conversation focuses on how it helps detect breast cancer in images.
2.
According to Sarah, what does deep learning help computers do?
Remove tumors from images
Learn from data
Translate medical reports
Make doctors unnecessary
Explanation:
Sarah explains that deep learning is a type of artificial intelligence and that it helps computers learn from data.
3.
What did Sarah say is the main challenge of the system?
It is too expensive to use
It takes too long to train
It cannot find any tumors
It creates false positives
Explanation:
Sarah directly states that the main challenge is false positives.
4.
What can be inferred about the system Sarah studied?
It is not useful in medical settings
It works only without images
It can fully diagnose all diseases
It is meant to help doctors, not replace them
Explanation:
Sarah says the system supports doctors but does not replace them, which implies it is designed as an aid rather than a replacement.
5.
What kind of data did Sarah use in her research?
Thousands of mammogram images
Blood test results from one clinic
A few handwritten patient notes
Audio recordings from hospital visits
Explanation:
Kevin asks what data she used, and Sarah answers that they used thousands of mammogram images.
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