BREAST CANCER GRADING OF H&E STAINED HISTOPATHOLOGY IMAGES

Breast cancer is the common existing form of cancers amongst women. The automatic image analysis methods have an enormous potential to decrease the workload in a pathology laboratory. The grading of breast cancer histopathology images is used to find the level of breast cancer. The automatic grading of breast cancer histopathology images is a challenging task. In this paper a system for automatic detection of breast cancer grading of H&E stained histopathological images is presented. An image processing techniques such as preprocessing, segmentation, feature extraction and classification are used in this system. The segmentation of nuclei in H&E stained image is performed using color thresholding and maximum entropy thresholding. The features are computed according to Bloom Richardson grading criteria. The decision tree classifier is used to classify input image into three group i.e., low grade, intermediate grade and high grade

Skin Lesion Analysis Using Digital Imaging Techniques

Visual inspection of skin lesion may be time consuming and is prone to inaccuracy. Conventionally, dennatologist has to visually inspect and manually calculate the percentage of affected area on patient's body. Though the estimation is highly subjective, therefore a computerized system of detecting and calculating affected area will be very helpful. This report presents a computer vision method for analysis of lesion area. The most crucial part of this work is segmentation. In this paper, we present three methods of segmenting lesion area (represented as colored patches) which are !.segmentation in HSI color space, 2. segmentation in ROB color space and 3. segmentation in quantized ROB color space. The result of three methods will then be compared to select the method that yield the best segmentation result

Skin Lesion Analysis Using Digital Imaging Techniques

Visual inspection of skin lesion may be time consuming and is prone to inaccuracy. Conventionally, dennatologist has to visually inspect and manually calculate the percentage of affected area on patient's body. Though the estimation is highly subjective, therefore a computerized system of detecting and calculating affected area will be very helpful. This report presents a computer vision method for analysis of lesion area. The most crucial part of this work is segmentation. In this paper, we present three methods of segmenting lesion area (represented as colored patches) which are !.segmentation in HSI color space, 2. segmentation in ROB color space and 3. segmentation in quantized ROB color space. The result of three methods will then be compared to select the method that yield the best segmentation result

Molecular phylogeny of horseshoe crab using mitochondrial Cox1 gene as a benchmark sequence

An effort to assess the utility of 650 bp Cytochrome C oxidase subunit I (DNA barcode) gene in delineating the members horseshoe crabs (Family: xiphosura) with closely related sister taxa was made. A total of 33 sequences were extracted from National Center for Biotechnological Information (NCBI) which include horseshoe crabs, beetles, common crabs and scorpion sequences. Constructed phylogram showed beetles are closely related with horseshoe crabs than common crabs. Scorpion spp were distantly related to xiphosurans. Phylogram and observed genetic distance (GD) date were also revealed that Limulus polyphemus was closely related with Tachypleus tridentatus than with T.gigas. Carcinoscorpius rotundicauda was distantly related with L.polyphemus. The observed mean Genetic Distance (GD) value was higher in 3rd codon position in all the selected group of organisms. Among the horseshoe crabs high GC content was observed in L.polyphemus (38.32%) and lowest was observed in T.tridentatus (32.35%). We conclude that COI sequencing (barcoding) could be used in identifying and delineating evolutionary relatedness with closely related specie

Crab and cockle shells as heterogeneous catalysts in the production of biodiesel

In the present study, the waste crab and cockle shells were utilized as source of calcium oxide to transesterify palm olein into methyl esters (biodiesel). Characterization results revealed that the main component of the shells are calcium carbonate which transformed into calcium oxide upon activated above 700 °C for 2 h. Parametric studies have been investigated and optimal conditions were found to be catalyst amount, 5 wt.% and methanol/oil mass ratio, 0.5:1. The waste catalysts perform equally well as laboratory CaO, thus creating another low-cost catalyst source for producing biodiesel. Reusability results confirmed that the prepared catalyst is able to be reemployed up to five times. Statistical analysis has been performed using a Central Composite Design to evaluate the contribution and performance of the parameters on biodiesel purity