26 research outputs found
Complex wavelet as nucleus descriptors for automated cancer cytology classifier system using ANN
Analysis of nuclei textures of fine needle aspirated cytology images for breast cancer diagnosis using Complex Daubechies wavelets
Breast cancer is the most frequent cause of cancer induced death among women in the world. Diagnosis of this cancer can be done through radiological, surgical, and pathological assessments of breast tissue samples. A common test for detection of this cancer involves visual microscopic inspection of Fine Needle Aspiration Cytology (FNAC) samples of breast tissue. The result of analysis on this sample by a cytopathologist is crucial for the breast cancer patient. For the assessment of malignancy, the chromatin texture patterns of the cell nuclei are essential. Wavelet transforms have been shown to be good tools for extracting information about texture. In this paper, it has been investigated whether complex wavelets can provide better performance than the more common real valued wavelet transform. The features extracted through the wavelets are used as input to a k-nn classifier. The correct classification results are obtained as 93.9% for the complex wavelets and 70.3% for the real wavelets.</p
Study of malignancy associated changes in sputum images as an indicator of lung cancer
The Role of Manganese Carbonate Precipitation in Controlling Fluoride and Uranium Mobilization in Groundwater
The Role of Manganese Carbonate Precipitation in Controlling Fluoride and Uranium Mobilization in Groundwater
Groundwater contamination with fluoride
(F) and uranium (U) has
been reported in many parts of India. However, the sources and mobilization
mechanisms of these contaminants remain poorly understood. The present
study aimed to identify the processes governing the coexistence of
elevated F and U in groundwater at a typical site in India’s
middle Gangetic plain. Sustained groundwater sampling at 21 locations
over two years indicated persistence of high F and U in a shallow
aquifer (12 m depth), but absence of these pollutants in a deeper
aquifer (30 m depth). For both the aquifers, Mn exhibited strong inverse
correlations with F (−0.587; p < 0.01)
and U (−0.581; p < 0.01). X-ray diffraction
analysis of representative sediment cores indicated few differences
in the mineralogy of the two aquifers, which consisted of fluorite
(CaF2(s)) and calcite (CaCO3(s)), among others.
Analysis of groundwater speciation and saturation state and sequential
extraction on aquifer sediments suggested that elevated F in shallow
groundwater occurred due to calcite precipitation-induced fluorite
dissolution. The conditions in both the aquifers were oxidizing with
respect to U, but reducing with respect to Mn. Elevated U was attributed
to carbonate-promoted mobilization from iron–manganese (Mn)
and residual sediment fractions. In the deeper groundwater, elevated
Mn and lower pH levels persisted with conditions at saturation with
respect to rhodochrosite (MnCO3(s)). Furthermore, medium
(30 d) to long-term (300 d) batch experiments were performed to systematically
evaluate the role of variable Mn on calcite precipitation under approximate
in situ conditions. Precipitation of rhodochrosite outcompeted calcite
precipitation and resulted in lower pH compared to pH of Mn-free systems,
which (a) inhibited calcite precipitation and associated fluorite
dissolution and (b) constrained pH and alkalinity in the deeper groundwater.
These findings have implications for understanding F and U mobilization
in comparable Mn-deficient sites and development of appropriate Mn-based
amendments for in situ remediation
