Table 2 Patient Characteristics.

From: Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning

Characteristics

Summary

PCa patients

N = 79

Age (years) (average, range)

67.9(50–88)

Number of MR imaging *

N = 1164

Prostate BCs patients

N = 93

Age (years) (average, range)

N = 66.5(47–91)

Number of MR imaging*

N = 1438

 BPH

N = 75

 BPH + prostatitis

N = 18

  1. Note: PCa = prostate cancer. prostate BCs = prostate benign conditions. BPH = benign prostatic hyperplasia. *Morphologic images (axial 2D T2-weighted imaging). The study is a patient-based to to compare deep-learning with DCNN versus non-deep-learning with SIFT image feature and BoW model for the automatic classification of PCa or prostate BCs patients with morphologic images (axial 2D T2-weighted imaging).
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