… Image segmentation is a major area of interest within the field of medical image analysis …
in non-small lung cancer histopathological images has spawned considerable critical attention. …

… quantitative image … image features can predict the prognosis of lung cancer patients and
thereby contribute to precision oncology. Our methods are extensible to histopathology images …

… This work aims to detect lung cancer using histopathological images more accurately. Lung
cancer … The mortality rate can be reduced significantly in the early-stage diagnosis of cancer. …

… patients account for 25.2%, which is ranked first place among women patients, and morbidity
is 14.7%, which is ranked second place following lung cancer in the survey about cancer …

… histopathological image datasets are used for experiments. The lung cancer multitissue
histopathological image … It contains 107.7 k patches from 67 slides of lung cancer, which were …

… In summary, we developed a novel AI-based histopathological image classification approach
… Our approach may also be adapted and applied to the histological analysis of other cancer …

… The proposed method is extensively tested on two data sets containing more than 3000
cells obtained from brain tumor and lung cancer images. Our algorithm achieves the best …

… and multi-faceted histopathological image analysis. We demonstrate its utility and functionality
by performing two case studies on lung cancer and one on colon cancer. Leveraging the …

… After lung cancer, breast cancer stands second cause of death among women and it is the
… based on histopathology images is used. The dataset includes histopathology images from …

… been numerous advances in analyzing histopathological images for cancer detection.
Textures based on wavelet transforms have been used to detect lung cancer in its early stages …