Fig. 1: Workflow of the proposed MPMRecNet framework for colorectal cancer postoperative recurrence prediction. | npj Digital Medicine

Fig. 1: Workflow of the proposed MPMRecNet framework for colorectal cancer postoperative recurrence prediction.

From: Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens

Fig. 1

Tumor FFPE sections are imaged with multiphoton microscopy to obtain paired TPEF/SHG images, which are preprocessed and used to train and then apply MPMRecNet for patient-level recurrence prediction; performance is evaluated, and the prediction is integrated with clinical variables to build a nomogram for clinical use.

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