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Insights into Imaging
Fig. 4 | Insights into Imaging

Fig. 4

From: Does deep learning software improve the consistency and performance of radiologists with various levels of experience in assessing bi-parametric prostate MRI?

Fig. 4

Radiologists and the DL software in assigning PI-RADS scores. A 64-year-old man with prostate adenocarcinoma with a Gleason Score of 4 + 3 in the right posterolateral peripheral gland at the mid-prostatic level. An axial T2-weighted imaging (a), apparent diffusion coefficient map (b), diffusion-weighted imaging with a high b-value (c), and deep learning decisions overlaid on T2-weighted imaging with a heatmap (d) are shown. The radiologists scored this lesion as PI-RADS 5 with and without the DL software

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