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Fig. 5 | Insights into Imaging

Fig. 5

From: Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study

Fig. 5

A patient with clinically significant prostate cancer in the right peripheral zone from the in-house data. The T2W (a), diffusion-weighted image with a b-value of 1400 s/mm2 (b), apparent diffusion coefficient map (c), and the predictions of the deep learning model overlaid on the T2W image (d). The model correctly predicted the lesion and drew its borders

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