… based method for detection of lung cancer in whole slide histopathology images. VGG16 and
… have potential to perform lung cancer diagnose from whole slide images, but more effort is …

… To further explore the potential application of DL on WSI for lung cancer diagnosis, we
proposed the ACDC@LungHP challenge which is the first challenge at addressing …

… of the microscopic histopathology slides by … presents lung cancer detection using
histopathological images. A convolutional neural network (CNN) was implemented to classify an …

… lung cancer whole-slide images, we used the inception v3 architecture 30 and whole-slide
images of hematoxylin and eosin (H&E)-stained lung … and to subsequently test our models on …

… Finally, the lack of a standardized lung tumor pathology image database hinders the
diagnostic efficacy of ML models, underscoring the need for continuous improvements in ML …

… diagnostic categories. Before the WSI annotation, two pathologists reviewed all the histological
slides of … and histochemical staining slides used for auxiliary diagnosis, and accessed to …

… accurate cancer detection. Three-hundred and forty-nine whole-slide lung cancer lymph
node images, including 233 slides for algorithm training, 10 slides for validation, and 106 slides …

… In a biopsy, histopathology slides are evaluated by pathologists to establish the … to detect
lung cancer using histopathological images. The whole dataset consisted of 15000 images and …

… diagnosis and prognosis are essential in lung cancer treatment selection and planning.
With the rapid advance of medical imaging technology, whole slide imaging (WSI) in pathology …

… It contains lung and colon tissue images, but this work has focused only on the lung cancer
images contained in the dataset. Those images represent zoomed sections of biopsied tissue …