… histopathology to computational approaches, arousing a hype of deep learning methods for
histopathological … in the identification of lung cancer subtypes and cancer mimics from WSIs. …

… Automated detection of cancer regions would significantly speed up the whole … lung cancer
detection in whole slide images of lung tissue samples. Classification is performed on image …

… on the automatic diagnosis of lung cancer. The ACDC@LungHP 2019 … cancer tissue in
whole slide imaging (WSI), using an annotated dataset of 150 training images and 50 test images …

… -based models to analyze whole slides and predict five major … H&E stained FFPE LUAD
whole slides could be utilized to … morphological characteristics in histology slides, where deep …

… in cancer … slide scanning and computing technologies will enable the development of
WSI-based IHC prediction algorithms to confirm or reject a pathological diagnosis in lung cancer…

… of lung cancer whole-slide images, we used the inception v3 architecture 30 and whole-slide
images of … Tumor segmentation in whole slide images using persistent homology and deep …

… cells in lung images, and then classified the images into two subtypes of lung cancer. With …
number of studies are being conducted to analyze digital whole slide images (WSIs). Xu et al. […

… Weakly supervised deep learning for whole slide lung cancer image analysis. IEEE
Transactions on Cybernetics, 50(9):3950–3962, 2019. 1 [42] Xinggang Wang, Yongluan Yan, Peng …

… -associated stroma, to building whole-slide image (WSI)-based prognostic data.10, 11, 12, …
A total of 349 lymph node slides from 101 lung cancer patients with various histologic tumor …

… , which is also known as whole-slide images (WSIs). The WSIs … Taking two lung cancer
cohorts from The Cancer Genome … CAD systems, we use a lung cancer segmentation task as a …