Pathologist Versus Artificial Pathologist: What Do We Really Want (Need) From Machine Learning
One often reads that the complexities of anatomical pathology are now, or are soon to be unraveled by the latest machine learning technologies. Such incredible claims are bolstered by the experience of seeing a system classify histology images (or better, training one's own). It truly is remarkable that this is even possible. Yet, as this becomes a more common experience for the pathology community, it is likely that our current expectations and ambitions will be tempered by the constraints of reality. I remember being awe-struck at how realistic computer graphics were in the late 80's and early 90's.
Feb-15-2020, 21:36:52 GMT
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- Oceania > Australia > Queensland (0.05)
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- Health & Medicine
- Diagnostic Medicine (0.75)
- Therapeutic Area > Oncology (0.48)
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