Recognition of vehicle registration mark on moving vehicles in an outdoor environment

In this paper, we propose a new method for segmenting vehicle registration plate and recognizing the registration mark on a moving vehicle in an outdoor environment. The algorithm first segments the plate from the vehicle and other complex objects in view, based on the plate color and its dimension. The segmented plate is then corrected in orientation and size, before being matched with a sub-set of templates in the database. The matching adopts a high tolerant scheme allowing characters to have certain degree of shifting, rotation and mis-match. This proves to be an important criterion for successful recognition. Preliminary tests show that this method offers high success rate and high confident level.published_or_final_versio

Proteomics as a Method for Early Detection of Cancer: A Review of Proteomics, Exhaled Breath Condensate, and Lung Cancer Screening

The study of expressed proteins in neoplasia is undergoing a revolution with the advent of proteomic analysis. Unlike genomic studies where individual changes may have no functional significance, protein expression is closely aligned with cellular activity. This perspective will review proteomics as a method of detecting markers of neoplasia with a particular emphasis on lung cancer and the potential to sample the lung by exhaled breath condensate (EBC). EBC collection is a simple, new, and noninvasive technique, which allows sampling of lower respiratory tract fluid. EBC enables the study of a wide variety of biological markers from low molecular weight mediators to macromolecules, such as proteins, in a range of pulmonary diseases. EBC may be applied to the detection of lung cancer where it could be a tool in early diagnosis. This perspective will explore the potential of applying proteomics to the EBC from lung cancer patients as an example of detecting potential biomarkers of disease and progression

Correlation of immunohistochemical staining p63 and TTF-1 with EGFR and K-ras mutational spectrum and diagnostic reproducibility in non small cell lung carcinoma

For treatment purposes, distinction between squamous cell carcinoma and adenocarcinoma is important. The aim of this study is to examine the diagnostic accuracy on lung cancer small biopsies for the distinction between adenocarcinoma and squamous cell carcinoma and relate these to immunohistochemical and KRAS and EGFR mutation analysis. An interobserver study was performed on 110 prospectively collected biopsies obtained by bronchoscopy or transthoracic needle biopsy of patients with non-small cell lung cancer. The diagnosis was correlated with immunohistochemical (IHC) analysis for markers of adeno- (TTF1 and/or mucin positivity) and squamous cell differentiation (P63 and CK5/6) as well as KRAS and EGFR mutation analysis. Eleven observers independently read H&E-stained slides of 110 cases, resulting in a kappa value of 0.55 ± 0.10. The diagnosis non-small cell lung cancer not otherwise specified was given on average on 29.5 % of the biopsies. A high concordance was observed between hematoxylin-eosin-based consensus diagnosis (≥8/11 readings concordant) and IHC markers. In all cases with EGFR (n = 1) and KRAS (n = 20) mutations, adenodifferentiation as determined by IHC was present and p63 staining was absent. In 2 of 25 cases with a consensus diagnosis of squamous cell carcinoma, additional stainings favored adenodifferentation, and a KRAS mutation was present. P63 is most useful for distinction between EGFR/KRAS mutation positive and negative patients. In the diagnostic work-up of non-small cell lung carcinoma the limited reproducibility on small biopsies is optimized with immunohistochemical analysis, resulting in reliable delineation for predictive analysis