Automated identification of malignancy in whole-slide pathological images: identification of eyelid malignant melanoma in gigapixel pathological slides using deep learning.

Linyan WangLongqian DingZhifang LiuLingling SunLirong ChenRenbing JiaXizhe DaiJing CaoLinyan Wang

Published in: The British journal of ophthalmology (2019)

Our DLS, which uses artificial intelligence, can automatically detect MM in histopathological slides and highlight the lesion area on WSIs using a probabilistic heatmap. In addition, our approach has the potential to be applied to the histopathological sections of other tumour types.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
big data
machine learning
bioinformatics analysis
high throughput
risk assessment