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20202026
most citedBridging the gap between prostate radiology and pathology through machine learning

3 citations · 13 across the 11 of their papers we have counts for

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eess.IV2020

CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis

Indrani Bhattacharya, Arun Seetharaman, Wei Shao +10

Magnetic Resonance Imaging (MRI) is widely used for screening and staging prostate cancer. However, many prostate cancers have subtle features which are not easily identifiable on…