3 ms·

How long did they train humans to perform this task?

• NoPie 5y ago
  Do we even need clinicians be able to distinguish male and female retinas? The task is meaningless. Yes, there might be some interesting facts in discovery how male and female retinas are different. It could even lead to differentiated treatments. But ML hasn't provided any clues regarding this and therefore it is not that deep.
  • p1esk 5y ago
    It's not about differentiating male and female retinas (that's just a PoC to publish the paper), it's about using ML to find something useful in data (e.g. signs of a disease) which might be hard to see for humans otherwise.
• dkarras 5y ago
  I don't think we even know what to look for yet. >Clinicians are currently unaware of distinct retinal feature variations between males and females, highlighting the importance of model explainability for this task.