Hard Exudate Extraction from Fundus Images using Watershed Transform

Diabetic Retinopathy is a medical condition which affects the eyes due to increased blood sugar levels. This is characterized by presence of exudates - deposits of lipids in the posterior pole of the retina. If this ailment is not treated in earlier stages these deposits can cause blurred vision or even permanent blindness. This paper concentrates on extraction of hard exudates and optic disc from the retinal images of eyes using Marker based Watershed approach, which uses the minima imposition method to create mask and marker. The varying contrast across all the images has been taken care by a non-linear equation. Once these bright objects have been extracted from fundus images, area estimation is performed to eliminate the optic disk, thus retaining only exudates. These images have been procured from publicly available databases. Though software systems are easy to install, they prove to be expensive in terms of time and cost; thus this method has also been implemented on FPGA for an on-chip solution. The precision and sensitivity for exudate extraction sans optic disk are found to be 92.4% and 83.78% respectively.  Though other techniques exist which provide better accuracy, the method described in this paper is found to be hardware friendly in comparison with other proven methods. Few steps of the algorithm developed are implemented on FPGA to provide an embedded system approach to this work, considering the advantages of a hardware-software combination

Segmentation and Feature Extraction of Tumors from Digital Mammograms

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process. Keywords: Mammography, Breast Cancer, Masses, Calcification, Digital Mammography, Computer Aided Detection System, Segmentation, Feature Extractio

Adolescent Neuroblastoma of Lower Limb

Neuroblastoma is an embryonic tumour of neural crest origin, commonly seen in children with upper abdomen involvement. Rarely neuroblastomas present in adolescents and adults involving lower limb. Histopathologically neuroblastoma of lower limb can be confused with other small round cell tumour especially with Ewing’s sarcoma and rhabdomyosarcoma. A 16 year old male presented with 15x11cm swelling, pain and multiple discharging sinuses of right leg since 4 months. Routine haematological and biochemical analysis were within normal limits. Radiology of right leg showed large soft tissue swelling encompassing the pathological fracture of tibia and bowing of fibula. Fine needle aspiration of the swelling revealed malignant small round cell tumour. Histopathology revealed poorly differentiated neuroblastoma of lower limb. The immunohistochemistry of Synaptophysin and Chromogranin were positive and CD 99 was negative. Neuroblastoma diagnosed at unusual site with uncommon age has poor prognosis. Hence, one must keep in mind the differential diagnosis of neuroblastoma as one of the differential diagnosis in evaluating the soft tissue tumours of lower limb

Proceedings of International Conference on Computer Science, Information and Technology

Education had now become the instrument fashioned by men to achieve life’s goals. As, it is being well observed by The Great Rabindra Nath Tagore ”He who sees all being in his own self and his own self in all beings, he does not remain unrevealed, that should be the motto of our Indian educational Institutions”. Science had become the twilight in this dark era without science life will become hell .The ongoing energy and power issues many action research can be initiated by the research fraternity of this domain. The conference is a thought provoking outcome of all these interrelated facts.https://www.interscience.in/conf_proc_volumes/1004/thumbnail.jp

Face Recognition by Bunch Graph Method Using a Group Based Adaptive Tolerant Neural Network

This paper presents a new method for feature extraction from the facial image by using bunch graph method. These extracted geometric features of the face are used subsequently for face recognition by utilizing the group based adaptive neural network. This method is suitable, when the facial images are rotation and translation invariant. Further the technique also free from size invariance of facial image and is capable of identifying the facial images correctly when corrupted with noise/ camouflage. The method shows a result of 97% correct result in facial database of 320 images of 10 classes. The technique can be extended easily to incorporate the rotational invariance of the images

Microbial contamination of removable dental prosthesis at different interval of usage: An in vitro study

Background: Loss of teeth affects the individual's health. Many factors determine the need to wear a removable dental prosthesis. Due to nature of design, age and lack of awareness, prosthesis often are neglected to maintain in an aseptic condition leading to microbial contamination. This provided an impetus for the present study with the aim of determining the microbial contamination of removable dental prosthesis. Methodology: Total, 45 patients wearing removable dental prosthesis were randomly selected. Patients were divided into three groups as per duration of usage since 1 month, 6 month and ≥1 year. Sterile cotton swab moistened with phosphate buffer saline (PBS) was used to collect swab from the fitting areas of prosthesis. Swab samples was inserted immediately into the sterile tube containing 1 ml of PBS solution, 10μl PBS is inoculated on the blood agar and MacConkey agar plates using spread plate technique. Samples were cultured and incubated at 37°C for 48 h. Calibrated microbiologist isolated, identified and counted microorganisms using colony counter. Depending on the nature of data, statistical analysis was done applying Kruskal–Wallis test, Mann–Whitney U-test and Chi-square test. Result: Streptococcus species and Staphylococcus aureus were the common microorganisms isolated in all three groups and was statistically significant at P<0.05. Candida albicans, Diptheroid, Escherichia coli, Micrococcus species were isolated from Group II and Group III. Conclusion: There is a linear increase in microbial contamination of removable dental prosthesis as the duration of usage increases and might increase the susceptibility of individuals' to many diseases

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