Microcalcification is one of the earliest and main indicators of breast cancer. Because dual-energy digital mammography could suppress the contrast between the adipose and glandular tissues of the breast, it is considered a promising technique that will improve the detection of microcalcification. In dual-energy digital mammography, the imaged object is a human breast, while in calibration meas...

Breast cancer is a serious health related issue for women in the world. Cancer detected at premature stages has a higher probability of being cured, whereas at advanced stages chances of survival are bleak. Screening programs aid in detecting potential breast cancer at early stages of the disease. Among the various screening programs, mammography is the proven standard for screening breast canc...

PURPOSE The purpose of this study was to prospectively evaluate the detectability and usefulness of automated whole breast ultrasound (AWUS) and to compare it with handheld breast ultrasound (HHUS) in cases with suspicious microcalcifications identified by mammography. METHODS Forty-two patients with 43 suspicious microcalcifications (25 malignant and 18 benign) detected by mammography underw...

OBJECTIVE To evaluate the risk of malignancy in thyroid nodules through clinical, laboratory, ultrasonographic and cytological aspects. PATIENTS AND METHODS 741 nodules of 407 patients. RESULTS The cytology was benign (60,5%), indeterminate (23,3%), malignant (8,3%) or nondiagnostic (7,6%). The prevalence of cancer in indeterminate citology was 18,5% (16% in follicular lesions, 44% in suspi...

Mammography is the most efficient method for breast cancer early detection. Clusters of microcalcifications are the sign of breast cancer and their early detection is the key to improve

In this paper, we present a novel cascaded classification framework for automatic detection of individual and clusters of microcalcifications (μC). Our framework comprises three classification stages: i) a random forest (RF) classifier for simple features capturing the second order local structure of individual μCs, where non-μC pixels in the target mammogram are efficiently eliminated; ii) a m...

A method for detecting microcalcifications in digital mammograms is proposed. After recognizing basic features of microcalcifications we introduced several modifications in multifractal analysis, obtaining an efficient method adapted to enhance only small light parts not belonging to surrounding tissue, possibly microcalcifications. Started with a mammogram image, a method creates corresponding...

RATIONALE AND OBJECTIVES We measured the effect of image data loss on diagnostic accuracy to test the possibility of using a retransmission-free network communication protocol for transferring radiologic images. METHODS Mammograms transferred over a simulated network with 0%, 15%, and 25% transmission packet loss were presented randomly to 10 observers who typically read mammograms. Observers...