… In this research, a novel hybrid feature space based colon classification (HFS-CC) … effective
classification of colon biopsy images. We propose a novel feature type that mathematically …

… With the use of the homogenous cancer cell images as the test data for calculations, the … for
colon cancer detection is presented by hybrid set of morphological and texture features using …

… The results show that our approach improves the classification accuracy of colon cancer
detection by highlighting important and relevant genes, eliminating irrelevant ones, and …

… eye for the early detection of cancers and discrimination between their … hybrid systems
were developed with features extracted by mixed methods. The study aims to extract the features …

… before, during, and after cancer diagnosis. Since the network weights and … hybrid system
by selecting suitable features from gene expression microarray data and using these features to …

… colon cancer diagnosis… detection of colon cancer cells, and its classification into normal
and malignant cases [61]. The study involved the usage of a hybrid feature space based on colon…

… Colon Cancer images build and optimized for histological low-resolution patches. In this
paper, we have proposed a method for Colon Cancer detection based on clustering and feature …

… introduced a hybrid ensemble feature extraction model to efficiently identify lung and colon
cancer. It … to the study findings, our hybrid model can detect lung, colon, and (lung and colon) …

… The proposed 2DR e CA segmentation and colon cancer detection method is represented
in Fig. 1 and comprises of four stages: (i) image pre-processing, (ii) image segmentation, (iii) …

… Therefore, reliable computer-aided colon cancer detection … Colon cancer usually arises due
to chain smoking, family … of colon cancer diagnosis is microscopic analysis of colon biopsy …