Hacker News Reader

I would be worried that the deep neural networks would fill in the blanks with prior information from other patients, which might be incorrect. In other words, the neural network imagines what should be there, and does not faithfully represent what is there

View on HN

Yes, this should be a major concern, especially since CTs are used to detect abnormalities. It's very likely that the vast majority of the training data will be what is considered 'normal' for any given part of the body.

Indeed, you need a known, understandable and explainable error mode and model.

ANN are not even close to that.

Bonus points if you describe how they react to random perturbation - how robust the results are.

Reply on news.ycombinator.com