The 14th IEEE International Conference on Fuzzy…
2005
This work aims at automated segmentation of major lesions observed in early stages of cervical cancer which is the second most common cancer among women worldwide. The purpose of segmentation is to… (More)
A unified framework for a fully automated diagnostic system for cervical intraepithelial neoplasia (CIN) is proposed. CIN is a detectable and treatable precursor pathology of cancer of the uterine… (More)
2012 IEEE Southwest Symposium on Image Analysis…
2012
In cytological evaluation of cells, the nuclear characteristics present significant opportunities for early detection of abnormalities arising from various types of cancer. Accurate representation of… (More)
Backward Coding of Wavelet Trees (BCWT) is an extremely fast wavelet-tree-based image coding algorithm. Utilizing a unique backward coding algorithm, BCWT also provides a rich set of features such as… (More)
A new approach of backward coding of wavelet trees (BCWT) is presented. Contrary to the common "forward" coding of wavelet trees from the highest level (lowest resolution), the new approach starts… (More)
Medical records of patients are extremely sensitive information, needing uncompromising security during both storage and transmission. In addition, these records often have to be traceable to patient… (More)
Wavelet tree-based image compression algorithms have excellent rate distortion performance. However, they have a major drawback in their memory consumption. A new approach based on backward coding of… (More)
Lossless image compression is in high demand in medical image applications. With the development of General Purpose Graphic Processing Unit (GPGPU) computing techniques, sequential lossless image… (More)
Automated detection of subtle changes in sequential images requires development of procedures that ensure true subtraction of two images by proper registration and normalization of illumination. The… (More)
2010 IEEE International Conference on Acoustics…
2010
This paper describes a methodology used to classify Alzheimer's disease (AD) and mild cognitive impairment (MCI) with high accuracy using EEG data. The sequential forward floating search (SFFS) was… (More)