… The results show that deep learning-based outcome prediction with … deep learning techniques
can extract more prognostic information from the tissue morphology of colorectal cancer …

… machine learning techniques… deep learning to analyse conventional whole-slide images
to develop an automatic prognostic biomarker for patients resected for primary colorectal cancer…

… to colon cancer analysis were collected under the field of colon cancer and deep learning;
then, … In [69], the current systematic review on colorectal cancer detection and localization, and …

… Deep learning can be used to extract information from very complex images, and we
hypothesized that deep learning can predict clinical outcome directly from histological images of …

… We have shown that a deep learning model can predict MSI directly from H&E-stained WSIs
of colorectal cancer with a high NPV (93·7% on an external dataset with a real-world MSI …

… Methods: We introduce a deep learning-based method in colorectal cancer detection and
segmentation from digitized H&E-stained histology slides. Results: In this study, we …

… Deriving interpretable prognostic features from deep-learning-based prognostic … a deep
learning system (DLS) for predicting disease-specific survival for stage II and III colorectal cancer …

… could be a better deep learning architecture for colorectal cancer tissue than VGG19. …
and accuracy deep learning techniques to classify colorectal cancer tissue. Since deep neural …

… solution to predict colorectal cancer by using machine learning (ML) and deep learning (DL)
algorithms. A prediction model using ML for predicting colorectal cancer helps in obtaining …

… in colorectal cancer is crucial for optimal therapeutic decision making. We therefore aimed
to develop a novel deep learning … colorectal cancer slides as an alternative to current tests. …