#MP_MRI - Twitter Hashtag

about 1 year ago

🔬 Excited to share the publication "U-Net Architecture for Prostate Segmentation: The Impact of Loss Function on System Performance". Access the full article freely here 👉 https://t.co/Ht0ITqLRYV #prostate #cancer #segmentation #U_Net #mp_MRI #loss_function #medical_imaging

Bioeng_MDPI's tweet photo. 🔬 Excited to share the publication "U-Net Architecture for Prostate Segmentation: The Impact of Loss Function on System Performance". Access the full article freely here 👉 https://t.co/Ht0ITqLRYV

#prostate #cancer #segmentation #U_Net #mp_MRI #loss_function #medical_imaging https://t.co/knwXBVxaPJ

0

1

0

1

93

Alastair Lamb @LambAlastair

over 7 years ago

Prof Mark Emberton points out the exquisite predictive power of #MP_MRI for #csCaP: •PI-RADS 4 or 5 = OR 18 •PSAD > 0.15ng/ml/cc = OR 6.8 No longer acceptable not to MRI pre-biopsy. "Substandard care" not to. Get on board USA 🇺🇸!! #EAU19

LambAlastair's tweet photo. Prof Mark Emberton points out the exquisite predictive power of #MP_MRI for #csCaP:
•PI-RADS 4 or 5 = OR 18
•PSAD > 0.15ng/ml/cc = OR 6.8

No longer acceptable not to MRI pre-biopsy. "Substandard care" not to.

Get on board USA 🇺🇸!!

#EAU19 https://t.co/p9n1nYBbaM

5

76

30

3

0

Alastair Lamb @LambAlastair

over 7 years ago

@NiranjanJS presents systemised data on #NPV of #MP_MRI for #csCaP •n=28 papers since 2016 •n=3,903 •THM: NPV=8.3% •N.B. must know own unit's data •"Sir, this is the chance, with ur -ve MRI, that we will miss important prostate cancer if we don't biopsy". #EAU19 @EUplatinum