… While the primary cause of lung cancer is smoking, lung lesions in non-smokers may also
occur due to various factors such as pollution, presence of Human Immunodeficiency Virus (…

… We used the python package OpenSlide to analyze the histopathological images as SVS …
scanned the whole slide images with 512*512 slicing windows of lung cancer bio-markers. …

… histopathology images is large and the size of the images is also large. Currently, automated
image analysis system for histopathology images … of cancer, (2) the histological subtype of a …

… current research on AI in CRC image analysis. In histopathology, algorithms based on
Deep … and microsatellite instability, identify histological features related to prognosis and …

… In order to identify lung cancers and colon cancer using histopathological pictures and
more effective augmentation strategies, this research aims to utilize and modify the current pre-…

… This study evaluates the proposed method using the LC25000 histopathology imaging
dataset of lung cancer, which was released in 2020. This section presents the work of several …

… 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. …

… [21] collected > 2000 lung cancer WSIs, and others … of brain cancer survival using whole
slide histopathological images … cancer patients (see [38] for a comprehensive review on brain …

… Histological classification of tumor subtypes is another application of … image analysis in
lung cancer diagnosis. According to each tumor’s histopathological features, lung cancer can be …

… histopathological images with high accuracy, but data on NHL subtyping are limited. After
annotation of histopathological whole-slide images and image … on 84,139 image patches from …