Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network
This addresses the problem of automating PNI detection for pathologists, but it appears incremental as it applies an existing deep learning method to a new medical imaging task.
The study tackled the labor-intensive task of detecting perineural invasion (PNI) in colon, prostate, and pancreas cancers by proposing a convolutional neural network (CNN) algorithm, but no concrete results or numbers were provided in the abstract.
Perineural invasion (PNI) by malignant tumor cells has been reported as an independent indicator of poor prognosis in various cancers. Assessment of PNI in small nerves on glass slides is a labor-intensive task. In this study, we propose an algorithm to detect the perineural invasions in colon, prostate, and pancreas cancers based on a convolutional neural network (CNN).