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http://dx.doi.org/10.1148/rycan.250244 | DOI Listing |
Med Phys
September 2025
Department of Radiology, Stony Brook University, New York, USA.
Background: In contrast-enhanced digital mammography (CEDM) and contrast-enhanced digital breast tomosynthesis (CEDBT), low-energy (LE) and high-energy (HE) images are acquired after injection of iodine contrast agent. Weighted subtraction is then applied to generate dual-energy (DE) images, where normal breast tissues are suppressed, leaving iodinated objects enhanced. Currently, clinical systems employ a dual-shot (DS) method, where LE and HE images are acquired with two separate exposures.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
Electrical and Computer Engineering Department, School of Engineering, Morgan State University, Baltimore, MD, 21251, USA. Electronic address:
Breast Cancer (BC) remains a leading cause of morbidity and mortality among women globally, accounting for 30% of all new cancer cases (with approximately 44,000 women dying), according to recent American Cancer Society reports. Therefore, accurate BC screening, diagnosis, and classification are crucial for timely interventions and improved patient outcomes. The main goal of this paper is to provide a comprehensive review of the latest advancements in BC detection, focusing on diagnostic BC imaging, Artificial Intelligence (AI) driven analysis, and health disparity considerations.
View Article and Find Full Text PDFRadiol Med
September 2025
Department of Diagnostic and Public Health, Section of Radiology, University of Verona, P.le L.A. Scuro 10, 37134, Verona, Italy.
The male breast is predisposed to be affected by many of the same pathological processes as the female breast is. The diagnosis of male breast pathologies is generally achievable when clinical evaluation is combined with standard breast imaging methods such as mammography and ultrasound. Magnetic resonance imaging is also a valuable tool in diagnosing the main pathologies affecting the male breast, especially for evaluating pre- and post-surgical treatments and follow-up.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
September 2025
Data Augmentation (DA) is a technique to increase the quantity and diversity of the training data, and by that alleviate overfitting and improve generalisation. However, standard DA produces synthetic data for augmentation with limited diversity. Generative Adversarial Networks (GANs) may unlock additional information in a dataset by generating synthetic samples having the appearance of real images.
View Article and Find Full Text PDF