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Insights into Imaging
Fig. 5 | Insights into Imaging

Fig. 5

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

Fig. 5

Radiologists and the DL software in assigning PI-RADS scores. A 55-year-old man with clinically significant prostate adenocarcinoma with a Gleason Score of 4 + 3 in the left posterior peripheral gland at the basal 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. All radiologists scored PI-RADS 5 for the index lesion. However, the deep learning software failed to identify the index lesion

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