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.
Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network
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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).
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Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation
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.