The basic purpose of CAD systems is to assist doctors in the process of diagnosis. CAD systems, however, are quite expensive, especially, in most of the developing countries. Our focus is on developing a low-cost CAD system. Today, most of the CAD systems regarding mammogram classification ...
These patients fulfilled specified criteria on physical examination, mammogram and needle sensation when the FNAB needle entered the lesion. Results of the cytologic studies of the FNAB were used as a corroborative rather than as a diagnostic test. Of 305 patients with mammary abnormalities, 106 ...
- after VB a control mammogram is taken - in case of microcalcifications a specimen radiograph is necessary. - in cases where the whole or a high proportion of the mammographic lesion has been removed, a small metal marker clip is deployed at the biopsy site. MR-guided vacuum biopsy is pe...
To determine the need for a fine-needle or core biopsy in patients with clinically palpable breast abnormalities who have negative mammographic and sonographic findings. Over a 12-year period, 251 patients with a palpable abnormality at presentation and who had a negative ultrasound and mammogram und...
Deep learningConvolutional neural networkBreast tissue classificationComputer-aided diagnosisMammogramThe mortality rate of breast cancer can be reduced by early diagnosis and treatment. The computer-aided diagnosis (CAD) systems can effectively help physicians identify the early stage of breast cancer. The...
First local maxima/minima along rows and columns of a marked abnormality area in a mammogram are located. Morphological erosion is then applied to these maxima/minima to obtain the degree of surface roughness or coarseness within this area. The erosion is done for many sizes of a structuring ...
This paper, it is aimed to develop a new computer-aided system with a graphical coded language to detect abnormalities in mammogram images by using machine learning technics such as ANN and SVM. The developed algorithm has a graphical user interface (GUI) and all results are show...
Shanthi S, Murali V. A Novel Approach for Classification of Abnormalities in Digitized Mammograms.In Indian Academy of Sciences. 2014 October; Vol, 39, Part 5,.S. Shanthi and V. MuraliBhaskaran. 2014. "A Novel approach for classification of abnormalities in digitalized mamm...
In this paper we will address two major problems in mammogram analysis for breast cancer in MR-images. The first is classification between normal and abnormal cases and then, discrimination between benign and malignant in cancerous cases. Our proposed method extracts textural and statistical ...
Descriptive Terms for mammographic abnormalities: Observer variation in application. Clin Radiol - Simpson, Neilson, et al. - 1996 () Citation Context ...lity amongst mammogram readers in the use of descriptors, which has led some authors to conclude that the standardization of descriptive terms ...