This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named contrast-limited adaptive histogram equalization (CLAHE) to remove noise and intensity inhomogeneities. The proposed preprocessing filter, called fuzzy contrast-limited adaptive histogram equalization (FCLAHE), performs n...

An image texture analysis and target recognition approach of using an improved image texture feature coding method (TFCM) and Support Vector Machine (SVM) for target detection is presented. With our proposed target detection framework, targets of interest can be detected accurately. Cascade-Sliding-Window technique was also developed for automated target localization. Application to mammogram s...

An image texture analysis and target recognition approach of using an improved image texture feature coding method (TFCM) and Support Vector Machine (SVM) for target detection is presented. With our proposed target detection framework, targets of interest can be detected accurately. Cascade-Sliding-Window technique was also developed for automated target localization. Application to mammogram s...

The performance of a dry sampler, with an impregnated denuder in series with a glass fibre filter, using di-n-butylamine (DBA) for airborne isocyanates (200ml min(-1)) is investigated and compared with an impinger flask with a glass fibre filter in series (1 l min(-1)). An exposure chamber containing 1,6-hexamethylene diisocyanate (HDI), isophorone diisocyanate (IPDI), and 2,4- and 2,6-toluene ...

The most frequent symptoms of ductal carcinoma recognised by mammography are clusters of microcalcifications. Their detection from mammograms is difficult, especially for glandular breasts. We present a new computer-aided detection system for small field digital mammography in planning of breast biopsy. The system processes the mammograms in several steps. First, we filter the original picture ...

The most frequent symptoms of ductal carcinoma recognized by mammography are clusters of microcalcifications. Their detection from mammograms is difficult, especially for glandular breasts. We present a new system for computer-aided diagnosis of breast carcinoma, from digital mammograms. The images are processed in several steps. First, we filter the original picture with a filter that is sensi...

Norborn-5-ene-(N,N-dipyrid-2-yl)carbamide (M1) was copolymerized with exo,exo-[2-(3-ethoxycarbonyl-7-oxabicyclo[2.2.1]hept-5-en-2-carbonyloxy)ethyl]trimethylammonium iodide (M2) using the Schrock catalyst Mo(N-2,6-Me₂-C₆H₃)(CHCMe₂Ph)(OCMe(CF₃)₂)₂[Mo] to yield poly(M1-b-M2). In water, poly(M1-b-M2) forms micelles with a critical micelle-forming concentration (cmc) of 2.8 x 10⁻⁶ mol L⁻¹; Reaction...

Well-defined model catalyst samples, prepared under ultra-high-vacuum (UHV) conditions, hold the potential of bridging the gap between traditional surface science and technical catalysis studies. However, work remains to understand and characterize reaction kinetics of such samples under more realistic pressure conditions, specifically, how reaction kinetics of a well-studied reaction (such as ...

Properly functioning HEPA air filtration systems depend on a variety of factors that start with the use of fully characterized challenge conditions for system design and then process control during operation. This paper addresses factors that should be considered during the design phase as well as operating parameters that can be monitored to ensure filter function and lifetime. HEPA filters us...

The box-like cages {M[Cp*Rh(CN)3]4[Mo(CO)3]4} form as the sole metal-containing products of the reaction of [Cp*Rh(CN)3] and (η-C6H3Me3)Mo(CO)3 in the presence of K+ and Cs+. Well-defined species could not be identified in solutions of Cp*Rh(CN)3 and (η-C6H3Me3)Mo(CO)3 in the absence of alkali metal cations. The new cages were isolated as their Et4N salts, M ) K+ (1), Cs+ (2). Crystallographic ...