Current diagnostic strategy for mammographic microcalcification without specific ultrasound abnormality
نویسندگان
چکیده
منابع مشابه
Computer-aided diagnosis of mammographic microcalcification clusters.
Computer-aided diagnosis techniques in medical imaging are developed for the automated differentiation between benign and malignant lesions and go beyond computer-aided detection by providing cancer likelihood for a detected lesion given image and/or patient characteristics. The goal of this study was the development and evaluation of a computer-aided detection and diagnosis algorithm for mammo...
متن کاملModelling mammographic microcalcification clusters using persistent mereotopology
In mammographic imaging, the presence of microcalcifications, small deposits of calcium in the breast, is a primary indicator of breast cancer. However, not all microcalcifications are malignant and their distribution within the breast can be used to indicate whether clusters of microcalcifications are benign or malignant. Computer-aided diagnosis (CAD) systems can be employed to help classify ...
متن کاملNeural Network Based Microcalcification Detection in a Mammographic CAD System
This document presents the computer aided diagnosis system being developed to help experts in screening mammography. It is a very important project because about 8 % of women develop breast cancer in her lifetime therefore global screening is necessary. It means that reliable diagnosis of huge number of images must be solved. The basic architecture of the system and the information processing n...
متن کاملMammographic microcalcification in an autogenously reconstructed breast simulating recurrent carcinoma.
Breast cancer is a common cancer among women. The transverse rectus abdominis myocutaneous (TRAM) flap is a popular option because not only does it provide a breast with satisfactory bulk composed of autogenous tissue but it also provides an abdominal dermolipectomy to the patient. Fat necrosis remains a common problem following TRAM flap reconstruction, occurring in 10% to 36% of patients unde...
متن کاملTopological Modelling and Classification of Mammographic Microcalcification Clusters
Goal: The presence of microcalcification clusters is a primary sign of breast cancer; however, it is difficult and time consuming for radiologists to classify microcalcifications as malignant or benign. In this paper, a novel method for the classification of microcalcification clusters in mammograms is proposed. Methods: The topology/connectivity of individual microcalcifications is analysed wi...
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ژورنال
عنوان ژورنال: Annals of Oncology
سال: 2019
ISSN: 0923-7534
DOI: 10.1093/annonc/mdz416.006