A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].

Barah payu dara adalah penyakit yang paling banyak meragut nyawa kaum hawa. Kadar sembuh dari penyakit ini boleh ditingkaykan jika ia dapat dikesan secara awal. Pengesahan awal penyakit ini dapat dilakukan melalui ujian mamografi yang terbukti keberkesanannya. Survival rates for breast cancer patients may be increased when the disease is detected in its earliest stage through mammography. A thorough assessment during breast screening would also include clinical, physical examination and ultrasound. The implementation of mass screening would result in increased caseloads for radiologists which would incur chances of improper diagnosis

Pseudocolouring Enhancement Processing Of Ovarian Ultrasound Images.

Image processing may be employed on ovarian ultrasound images to assist doctors in diagnostic analysis

Ovaidan Ultrasound Image Enhancement By Pseudocolouring.

Image processing may be employed on ovarian ultrasound images to assist doctors in diagnostic analysis. The gray levels of ovarian images are usually concentrated at the zero end of the spectrum ,making the image too low in contrast and too dark for the naked eye. This paper examines the effectiveness in displaying gray level ultrasound images as colour images and proposes a pseudocolouring approach for enhancing features in ultrasound ovarian image, which allows easy discrimination Of texture information

Proceedings Of The International Conference On Rohotics, Vision. Information and Signal Processing

Unprocessed mammograms and ultrasound images are sometimes difficult to assess through the naked eye. Images that are inflicted with degradations due to overexposure. inadequate lighting or faulty electronic imaging equipment can be rendered useful through the process of image restoration. Degradations such as defocus or various types of noises can be removed and thus made more suitable for interpretations in the medical field. For this purpose, a software package named Image Restoration 2 (IR2) was developed

Automated Seed-Based Region Growing Using The Moving K-Means Clustering For The Detection Of Mammographic Microcalcifications.

Mammography is by far the proven method of early detection of breast cancer. However, mammography is not without its problems. It is amongst the most difficult of radiological images to interpret as the images are of low contrast and features indicative of abnormalities are very subtle and minute. In this study, a new method of automated edge detection technique is proposed to detect the abnormalities in a region of interest in a mammogram

Control Of Mini Autonomous Surface Vessel.

This paper presents an initial development stage of mini Autonomous Surface Vehicles (ASVs). The ASVs named Drosobot is being developed for hydrographic survey on lakes

Mammographic Image Contrast Enhancement Through The Use Of Moving Contrast Sweep.

Low contrast in mamographic image has always made detection of subtle signs such as the presence of micro calcification within dense tissue a challenge

Bukit Merah Lake Contour Mapping Using Swarm Of Mini ASVs.

Abstract- A new concept of an Autonomous Surface Vehicle (ASV) is proposed, mimicking the predictable biological balancing nature of the Drosophila or the fruit fly