The result analysis demonstrates that their proposed deep model for colon cancer detection provides a higher accuracy of 99.50%, Bukhari and his collegues14 provided two colon images datasets: LC250000 and Colorectal Adenocarcinoma Gland (CRAG) Dataset.
Jul 3, 2024
Dec 6, 2019 · It is found that in the use of deep learning intelligent assistant diagnosis system for the diagnosis of colorectal cancer, it can provide useful information.
It is found that in the use of deep learning intelligent assistant diagnosis system for the diagnosis of colorectal cancer, it can provide useful ...
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Mar 8, 2023 · Machine learning and bioinformatics analysis can help screen and identify more CRC biomarkers to provide the basis for non-invasive screening.
Jul 17, 2023 · This report aims to summarize the entire application spectrum of deep learning in all diagnostic tests regarding colon cancer.
Dec 23, 2019 · : Intelligent Imaging Technology in Diagnosis of Colorectal Cancer Using Deep Learning. TABLE 1. Texture features and dimension statistics table ...
A diagnostic study using a deep learning model, MSINet, was developed using 100 H&E-stained, whole slide images from patients who underwent colorectal cancer ...
By scanning the cancer sites, then distinguishing and extracting the features of the tumors, the collected data are input into the designed in-depth learning ...
Jul 19, 2024 · We propose a 3-phase deep neural system for automated colorectal cancer detection using CT scan images to address these challenges.
Feb 9, 2022 · We trained and validated a unique artificial intelligence (AI) deep learning model as an assistive tool to screen for colonic malignancies in colorectal ...