Breast Tumor Malignancy Classification using Smartphone Compression-induced Sensing System and Deformation Index Ratio.

Smartphone-based compression-induced sensing system uses the light diffusion pattern to characterize the early-stage breast tumor noninvasively. The system is built on a smartphone and cloud platform to capture, transfer, and interface with the user. The compressed tissue's deforming pattern creates distinctive tactile images due to the size and hardness of the tumor.

Computer-aided detection of colorectal polyps: can it improve sensitivity of less-experienced readers? Preliminary findings.

Purpose: To determine whether computer-aided detection (CAD) applied to computed tomographic (CT) colonography can help improve sensitivity of polyp detection by less-experienced radiologist readers, with colonoscopy or consensus used as the reference standard.

Materials And Methods: The release of the CT colonographic studies was approved by the individual institutional review boards of each institution. Institutions from the United States were HIPAA compliant.