… in histopathological images. This paper focuses on the use of DL architectures to classify
and highlight colon cancer regions in a sparsely annotated histopathological data context. First, …

… a system for colon cancer detection and classification based on slide histopathological images.
… and efficiency of our method on colon histopathological images analysis. Microsc. Res. …

… colon cancer. We aimed to develop accurate histopathological features for LNM in colon
cancer. … model to distinguish the cancer tissue component of colon cancer using data from the …

… great advantage of the method on colonic histopathology images’ classification. The simple
… histopathological images used in this paper including 30 normal and 30 abnormal images …

… Colon cancer are one of the leading causes of mortality and morbidity in adults. Histopathological
… , particularly microscopic images for example histopathological images due to high …

… This study aimed at determining colon cancer images from a total of 10 000 images. Of them,
… Cancer histopathological data are classified with the developed model, and the results …

… -images. This paper proposes an automatic and fast classification of colon cancer cell images
… extracted from segmented multi-spectral histopathological images. The aim of this work is …

… prediction using histopathological images in colon cancer. … topological structures in
histopathological images. Our FENet … structure in histopathological images simultaneously. …

… In this section, we explain the proposed methods for detecting lung and colon cancer on
histopathological images data. The methodology part consists of the LC25000 dataset, …

… It is an alternative method of image augmentation which extracts simulated images using …
DL in colorectal cancer, using digital image analysis in histopathological images, is presented. …