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Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network

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arxiv 2110.12283 v1 pith:UTSPKUYB submitted 2021-10-23 eess.IV cs.CV

classification eess.IVcs.CV
keywords perineuralcancersconvolutionalinvasionnetworkneuralalgorithmassessment
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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).

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    eess.IV 2025-07 conditional novelty 4.0 of 10

    Pseudo-hyperspectral images made from CMOS photos plus synthetic line noise improve cancer cytoplasm segmentation IoU from 0.7255 to 0.7362 on a 56-image test set.

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