International Journal of Bioinformatics Research

241-244

Authors: PRADEEP N., GIRISHA H., SREEPATHI B., KARIBASAPPA K.

Cancer is uncontrolled growth of cells. Breast Cancer is the uncontrolled growth of cells in the breast region. Breast cancer is the second leading cause of cancer deaths in women today. Early detection of the cancer can reduce mortality rate. Early detection of Breast Cancer can be achieved using Digital Mammography, typically through detection of characteristic masses and/or microcalcifications. A Mammogram is an x-ray of the breast tissue which is designed to identify abnormalities. Studies have shown that radiologists can miss the detection of a significant proportion of abnormalities in addition to having high rates of false positives. Therefore, it would be valuable to develop a computer aided method for mass/tumor classification based on extracted features from the Region Of Interest (ROI) in mammograms. ROI has to be segmented from the digital mammogram using the Segmentation techniques. Pattern recognition in image processing requires the extraction of features from regions of the image, and the processing of these features with a pattern recognition algorithm. We consider the feature extraction part of this processing, with a focus on the problem of tumor detection in digital mammography. Features are nothing but observable patterns in the image which gives some information about the image. For every Pattern Classification problem, the most important stage is Feature Extraction. The accuracy of the classification depends on the Feature Extraction stage. The different features that can be extracted for a digital mammogram are: Texture Features, Statistical Features, Structural Features. In this paper, we are able to calculate Texture, Statistical and Structural Features. We have used MATLAB for extracting the tumors from input mammogram and for calculating various features.

249-253

Authors: GIORGIO A

This paper deals with the problem of objectification in cardio-pulmonary auscultation, simple, not-invasive and essential diagnostic test, but currently not objectifiable, and the ability to perform real-time teleauscultation in order to improve the diagnostic potential of telemedicine, at present mainly limited to the teleelectrocardiography, the teleconsultation and the sending of delayed reports. For this purpose, a medical device, named Internet Tele-Stethoscope, consisting of hardware and software, has been designed and successfully validated.

258-262

Authors: GIORGIO A

Portable Biomedical Devices for health care management are producing a great impact in the monitoring of patients located in areas different from clinical environments such as homes, military bases, ships, and the like. The development of portable telemedicine device is accelerated by new technology like wireless transmission, GPS (Global Positioning System) receiver, Internet application and reduction of electronic device that make it wearable. The aim of the developed device is the provisioning of extended monitoring for patients under therapy after infarction, data collection in some particular cases, remote consultation and low-cost ECG monitoring for the elderlies unable to announce their failure condition. So the system allows real-time rescue of patients having heart failure and high risk of life.