Dec 27, 2019 · We propose a multilayer feature selection method to construct an optimized descriptor for polyp classification with a feature-grouping strategy in a hierarchical framework.

Feb 23, 2021 · Shape, texture, and color are critical features for assessing the degree of dysplasia in colonic polyps. A comprehensive analysis of these features is presented in this …

Jun 1, 2014 · A computer-aided diagnostic system for colonoscopic imaging has been developed to classify colorectal polyps by type. The modules of the proposed system include image …

Mar 13, 2025 · Enhancing diagnostic accuracy is essential, and this study focuses on improving the accuracy of polyp classification using the NICE classification, which evaluates three key …

The proposed framework characterizes geometry or shape of a polyp by pyramid histogram of oriented gradient (PHOG) features. To encapsulate the texture of the polyp surface, a fractal …

In this edition we will focus only on colonoscopy images and, apart from classical polyp detection and segmentation we present an extended version of polyp classification, including the …

Different from previous works, this article presents Enhanced Scattering Wavelet Convolutional Neural Network (ESWCNN), a polyp classification technique that combines Convolutional …

Jan 1, 2024 · This study emphasizes the importance of dataset selection, data preprocessing, and feature selection in enhancing the classification of difficult colon polyp subtypes. The …

In the proposed study, feature extraction is carried out using local feature descriptors. The feature selection is carried out using the correlation filter method- and wrapper-based techniques and …

May 2, 2003 · To improve computer aided diagnosis (CAD) for CT colonography we designed a hybrid classification scheme that uses a committee of support vector machines (SVMs) …