Breast cancer is one of the most common and deadliest types of cancer among women and early detection is of major importance to decrease mortality rates. Microcalcification clusters and masses are two major indicators of malignancy in the early stages of this disease, when mammography is typically used as the screening technology. Computer-Aided Diagnosis (CAD) systems can support the radiologi...

BACKGROUND To confirm whether clinical and biochemical parameters or Hashimoto's thyroiditis (HT) could predict the risks of malignancy among subjects who underwent thyroidectomy, as well as to determine the influence of HT on the biological behavior of papillary thyroid cancer (PTC). METHODS A total of 2,052 patients who underwent initial thyroidectomy were enrolled between June 2006 and Aug...

The architectural distortion is a very important finding in interpreting breast cancers as well as microcalcification and mass on mammograms. However, it is more difficult for physicians to detect architectural distortion than microcalcification and mass. The purpose of this study is to develop two detection approaches for architectural distortions existing around skinline and within mammary gl...

Background: This study aimed to evaluate the relationship of tumor size and ultrasound (US) Breast Imaging Reporting Data System (BI-RADS), further analyze if can impact evaluation for US features in patients with breast cancer. Materials Methods: In this retrospective study, preoperative postoperative pathological results were collected from 498 The association BI-RADS classification was analy...

Basics of Bayesian statistics in inverse problems using the maximum entropy principle are summarized in connection with the restoration of positive, additive images from various types of data like X-ray digital mammograms. An efficient iterative algorithm for image restoration from large data sets based on the conjugate gradient method and Lagrange multipliers in nonlinear optimization of a spe...