Purpose: This work aimed to improve breast screening program accuracy using automated classification. The goal was to determine if whole image features represented in the discrete cosine transform would provide a basis for classification. Priority was placed on avoiding false negative findings. Methods: Online datasets were used for this work. No informed consent was required. Programs were developed in Mathematica and, where necessary to improve computational performance ported to C++. The use of a discrete cosine transform to separate normal from cancerous breast tissue was tested. Features (moments of the mean) were calculated in square sections of the transform centered on the origin. K-nearest neighbor and naive Bayesian classifiers we...
Techniques in image similarity can be used to improve the classification of breast cancer images. Br...
Early stage breast cancer detection can reduce death rates in long term. Mammography is the current ...
Abstract�One of the most popular techniques for early detection of breast cancer. Masses in the mo...
This work aimed to improve breast screening program accuracy using automated classification. The goa...
Mammography is the most effective procedure for the early detection of breast cancer. In this paper ...
In this paper, we have proposed a method that consists of combination of different methods. First we...
CLASSIFICATION PROBLEM The paper provides a preview of some work in progress on the computer system ...
Abstract-Mammogram–breast x-ray is considered the most effective, low cost, and reliable method in e...
The paper provides a preview of some work in progress on the computer system to support breast cance...
Breast cancer is the leading cause of cancer in women. Early detection of breast cancer through peri...
It is well known that breast density in mammograms may hinder the accuracy of diagnosis of breast ca...
Modern cancer diagnostics is based heavily on cytological examinations. Unfortunately, visual inspec...
Breast cancer is the most common type of cancer in women, and early detection is important to signif...
This paper presents an automatic computer system to breast cancer diagnosis. System was designed to ...
The clinical interpretation of breast MRI remains largely subjective, and the reported findings qual...
Techniques in image similarity can be used to improve the classification of breast cancer images. Br...
Early stage breast cancer detection can reduce death rates in long term. Mammography is the current ...
Abstract�One of the most popular techniques for early detection of breast cancer. Masses in the mo...
This work aimed to improve breast screening program accuracy using automated classification. The goa...
Mammography is the most effective procedure for the early detection of breast cancer. In this paper ...
In this paper, we have proposed a method that consists of combination of different methods. First we...
CLASSIFICATION PROBLEM The paper provides a preview of some work in progress on the computer system ...
Abstract-Mammogram–breast x-ray is considered the most effective, low cost, and reliable method in e...
The paper provides a preview of some work in progress on the computer system to support breast cance...
Breast cancer is the leading cause of cancer in women. Early detection of breast cancer through peri...
It is well known that breast density in mammograms may hinder the accuracy of diagnosis of breast ca...
Modern cancer diagnostics is based heavily on cytological examinations. Unfortunately, visual inspec...
Breast cancer is the most common type of cancer in women, and early detection is important to signif...
This paper presents an automatic computer system to breast cancer diagnosis. System was designed to ...
The clinical interpretation of breast MRI remains largely subjective, and the reported findings qual...
Techniques in image similarity can be used to improve the classification of breast cancer images. Br...
Early stage breast cancer detection can reduce death rates in long term. Mammography is the current ...
Abstract�One of the most popular techniques for early detection of breast cancer. Masses in the mo...