Compressive sensing can minimize the collection of redundant data in the acquisition step. However, it requires a huge amount of storage and creates a tremendous computation burden due to the size of random measurement matrix in compressive sensing theory for big data collection. The separable compressive sensing theory uses two-dimensional separable random measurement matrixes instead of a hug...

In this paper we present a computer aided detection (CAD) system for colonic polyp detection in computed tomography (CT) images. Here, the segmentation of the colon region was performed in three steps which are thresholding, labeling and analyzing the shape morphologies using decision rules. After extracting the colon region, searching with 3D semi-spherical polyp template was performed to dete...

Inflammation is a hallmark of colorectal cancer (CRC). Neutrophils are well-known mediators in tumor biology but their role in solid tumors, including CRC, was redefined by neutrophil extracellular traps (NETs). Given that it was recently demonstrated that platelet-derived polyP primes neutrophils to release NETs, we examined surgical specimens from CRC to investigate the presence of polyP, as ...

In this paper, we first introduce three different geometric features including shape index, curvedness and sphericity ratio, for colonic polyp detection. A new color coding scheme is designed to highlight the detected polyps, and help radiologists to distinguish them from other tissues more easily. The key idea is to place the detected polyp candidates at the same locations in a newly created p...