… The same is true for colon biopsy images, which are used in our problem for cancer detection.
Biologically different constituents in a colon biopsy image can be identified by looking at …

… explored CAD applications was lung cancer detection utilizing chest radiographs. However,
… of cancer detection. Due to the fact that our work relates to lung and colon cancer diagnosis, …

… colon samples, and determine grades of malignant samples, is required. In this paper, we
propose a novel colon cancer diagnostic (CCD) system, which initially classifies colon biopsy …

… In this paper a fully automated colon cancer diagnosis with CT colonography images
using image processing and deep learning algorithms is designed and implemented. CT …

… Hyperspectral sensing can reliably detect tumors in resected colon specimens. This research
… does not require the use of contrast agents to achieve accurate colorectal cancer detection. …

… This paper presents an automatic colon cancer detection technique that quantifies the
differences in the shape of normal and malignant lumen in terms of various features such as least …

… We presented and analyzed improved DL models for colon cancer detection and segmentation
for the colon cancer detection automated system in this research. The classification task …

Purpose Microsatellite instability (MSI) due to mismatch repair (MMR) defects accounts for
15–20% of colon cancers (CC). MSI testing is currently standard of care in CC with …

… involved in automated colon cancer diagnosis based … colon cancer detection techniques in
detail. Further, extensive research has been carried out in the field of automated colon cancer …

… Thus an automation is needed to detect the colon cancer for all the magnifications. This
paper focus on the colon cancer detection on the colon biopsy images at different magnifications…