2,884 research outputs found
New Robotic Technologies in Cancer Colon Screening
Colorectal cancer (CRC) is the 3rd most common cause of cancer death worldwide. Regular
screening of the asymptomatic population can drastically reduce the mortality rate. CRC screening
includes several proceedings although the gold standard remains optical colonoscopy (OC), which is
unpleasant, causes pain and discomfort. New technologies exemplified by capsule endoscopy (CE)
constitute alternative painless solutions and despite their limitations, e.g., passive locomotion and absence
of on-board instrumentation, are being increasingly used for CRC screening. Research and development
centres are investigating novel advanced robotic technologies for diagnostic and therapeutic
use. These include wireless communication, active locomotion, sensors, diagnostic, and therapeutic
instruments. This review describes the traditional OC procedure and the existing robotic technologies
for CRC
A novel combination of triple metachronous malignancies of the kidney, oropharynx and prostate. A case report
Synchronous or metachronous malignancies are a rare event, with an incidence rate that increases with age. The present study reports the case of a 70-year-old Caucasian male who was referred to the outpatient office of the Urology Unit, Sapienza University of Rome (Latina, Italy) due to lower urinary tract symptoms. An abdominal ultrasound investigation was performed that demonstrated the presence of a right renal mass. The patient underwent right radical nephrectomy, which resulted in the definitive diagnosis of clear cell type renal cell carcinoma. The patient was eventually diagnosed with triple primary metachronous cancer consisting of renal clear cell carcinoma, prostate adenocarcinoma and squamous cell carcinoma of the oropharynx (palatine tonsil). To the best of our knowledge, this combination of primary neoplasms has not previously been documented
Spectral Classified Vector Quantization (SCVQ) for Multispectral Images
Multi- and hyper-spectral data pose severe problems in terms of storage capacity and transmission bandwidth. Although recommendable, compression techniques require efficient approaches to guarantee an adequate fidelity level. In particular, depending on the final destination of the data, it could be necessary to maximize several parameters, as for instance the visual quality of the rendered data, the correctness of their interpretation, or the performance of their classification. Based on the idea of Spectral Vector Quantization, the approach proposed in this paper aims at combining a compression and a classification methodology into a single scheme, in which visual distortion and classification accuracy can be balanced a- priori according to the requirements of the target application. Experimental results demonstrate that the proposed approach can be employed successfully in a wide range of application domains
Bow-Tie Cavity for Terahertz Radiation
We report on the development, testing, and performance analysis of a bow-tie
resonant cavity for terahertz (THz) radiation, injected with a continuous-wave
2.55 THz quantum cascade laser. The bow-tie cavity employs a wire-grid
polarizer as input/output coupler and a pair of copper spherical mirrors coated
with an unprotected 500 nm thick gold layer. The improvements with respect to
previous setups have led to a measured finesse value F=123, and a quality
factor Q = 5.1x10^5. The resonator performances and the relevant parameters are
theoretically predicted and discussed, and a comparison among simulated and
experimental spectra is given
Beyond the Weakly Hard Model: Measuring the Performance Cost of Deadline Misses (Artifact)
This document provides a brief description of the artifact material related to the paper "Beyond the Weakly Hard Model: Measuring the Performance Cost of Deadline Misses". The code provided in the artifact implements the algorithms presented in the paper and all the experimental tests
- …