A research team at a hospital is developing a machine learning model to automatically detect cancer cells in digitized pathology slides. After testing, they realize that the model’s performance is inconsistent because the labeled training data contains mistakes and disagreements between different pathologists. The team explains that this issue is slowing down progress and reducing the model’s accuracy.
Based on this scenario, what limitation of machine learning in digital pathology is being demonstrated?

Question

A research team at a hospital is developing a machine learning model to automatically detect cancer cells in digitized pathology slides. After testing, they realize that the model’s performance is inconsistent because the labeled training data contains mistakes and disagreements between different pathologists. The team explains that this issue is slowing down progress and reducing the model’s accuracy. 
 Based on this scenario, what limitation of machine learning in digital pathology is being demonstrated?

Answer

Limited computational power

Answer

Poor data annotation quality

Answer

Insufficient diagnostic equipment

Answer

Lack of access to  image segmentation  tools

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A research team at a hospital is developing a machine learning model to automat...

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