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Why do Rationale behind most published works in medical imaging trytrying to reduce false positives?
In medical image processing, most of the published works try to reduce false positive rate (FPR) while in reality, false negatives are more dangerous than false positives. What is the rationale behind it?
Why do most published works in medical imaging try to reduce false positives?
In medical image processing most of the published works try to reduce false positive rate (FPR) while in reality false negatives are more dangerous than false positives. What is the rationale behind it?
Rationale behind most published works in medical imaging trying to reduce false positives
In medical image processing, most of the published works try to reduce false positive rate (FPR) while in reality, false negatives are more dangerous than false positives. What is the rationale behind it?
Why do most published works in medical imaging try reducingto reduce false positives?
In medical image processing most of the published works try to reduce false positive rate (FPR) while in reality false negative isnegatives are more dangerous than false positive?positives. What is the rationale behind it?
Why most published works in medical imaging try reducing false positives?
In medical image processing most of the published works try to reduce false positive rate (FPR) while in reality false negative is more dangerous than false positive? What is the rationale behind it?
Why do most published works in medical imaging try to reduce false positives?
In medical image processing most of the published works try to reduce false positive rate (FPR) while in reality false negatives are more dangerous than false positives. What is the rationale behind it?
why Why most published works in medical imaging try reducing false positives?
In medical image processing most of the published works try to reduce false positive rate (FPR) while in reality false negative is more dangerous than false positive? can anyone explain this for meWhat is the rationale behind it?
why most published works in medical imaging reducing false positives?
In medical image processing most of the published works try to reduce false positive rate (FPR) while in reality false negative is more dangerous than false positive? can anyone explain this for me?
Why most published works in medical imaging try reducing false positives?
In medical image processing most of the published works try to reduce false positive rate (FPR) while in reality false negative is more dangerous than false positive? What is the rationale behind it?
