A new deep learning network, CCDNet, has been developed to improve the accuracy and efficiency of colorectal cancer diagnosis using histopathology images. The network…
Browsing: Colorectal Cancer
In this CMAJ Podcast episode, Dr. Mojola Omole and Dr. Blair Bigham discuss the increasing role of AI in healthcare delivery, specifically in the…
This article discusses the use of Deep Learning to predict MSI status from histopathology images in colorectal cancer patients. The model was trained on…
The AI in Cancer Diagnosis Market is experiencing rapid growth, with a projected valuation of USD 845.78 billion by 2030. This is driven by…
This study utilizes integrative bioinformatics and expression profiling techniques to identify key biomarkers for the early detection of colorectal cancer (CRC). Through transcriptome profiling…
This article discusses the use of computer-aided diagnostic systems, specifically the proposed “Color-CADx,” for the recognition of colorectal cancer (CRC). The system utilizes deep…
Mainz Biomed MYNZ, a company that specializes in developing molecular genetic diagnostic solutions for life-threatening conditions, has partnered with Liquid Biosciences to leverage the…
This multivariable study on colorectal cancer survival prediction used the BART model to demonstrate comparable model performance compared to other nonlinear learning models and…
Colorectal cancer (CRC) is the second leading cause of cancer death in the world, so digital pathology is essential for assessing prognosis. Deep learning…
Researchers have found that Artificial Intelligence (AI) can help deliver earlier and better diagnoses of digestive cancers, however there are many challenges to widespread…