Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)(2021)

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摘要
Prostate cancer is the second most prevalent cancer in men worldwide. Deep neural networks have been successfully applied for prostate cancer diagnosis in magnetic resonance images (MRI). Pathology results from biopsy procedures are often used as ground truth to train such systems. There are several sources of noise in creating ground truth from biopsy data including sampling and registration erro...
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关键词
Uncertainty,Sensitivity,Biological system modeling,Magnetic resonance imaging,Biopsy,Receivers,Predictive models
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