Results 1 to 10 of about 13,360 (158)

Establishing Diagnostic Reference Levels in Digital Mammography from Eight Mammography Units Using over 30,000 Images. [PDF]

Diagnostics (Basel)
Introduction: Diagnostic reference levels (DRLs) in digital mammography were determined from 31,040 digital mammography images acquired from diagnostic and screening examination data from eight state-managed mammography centers/units in the Republic of ...
Mediji-Arifi M, Ristova M.
europepmc   +2 more sources

Comparison of Full-Field Digital Mammography with Synthesized Mammography from Tomosynthesis in a Diagnostic population: Prospective Study. [PDF]

Indian J Radiol Imaging
Background Synthesized mammography (SM) refers to two-dimensional (2D) images derived from the digital breast tomosynthesis (DBT) data. It can reduce the radiation dose and scan duration when compared with conventional full-field digital ...
Dhamija E, Mohan SL, Anand R, Khan MA, Deo SVS, Hari S.   +5 more
europepmc   +2 more sources

Digital Mammography

Academic Radiology, 2008
Conventional risk models for the development of breast cancer useinputs such as age, weight, hormonal factors and family history to compute individual breast cancer risk. These are employed in the management of womenat high risk. The addition of breast density as an input has been shown to improvethe accuracy of such models.
Diffey, Jennifer, Krupinski, Elizabeth
  +9 more sources

Screen-film versus full-field digital mammography: Radiation dose and image quality in a large teaching hospital [PDF]

Nuclear Technology and Radiation Protection, 2013
The objective of this paper is to measure the radiation dose and image quality in conventional screen-film mammography and full-field digital mammography in women referred to mammography examination.
Stantić Tomislav J., Ciraj-Bjelac Olivera F., Stojanović Sanja S., Basta-Nikolić Marijana D., Aranđić Danijela D., Stoiljković Dragana S.   +5 more
doaj   +1 more source

Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography

Frontiers in Radiology, 2023
IntroductionTo date, most mammography-related AI models have been trained using either film or digital mammogram datasets with little overlap. We investigated whether or not combining film and digital mammography during training will help or hinder ...
InChan Hwang, Hari Trivedi, Beatrice Brown-Mulry, Linglin Zhang, Vineela Nalla, Aimilia Gastounioti, Judy Gichoya, Laleh Seyyed-Kalantari, Imon Banerjee, MinJae Woo   +9 more
doaj   +1 more source

Advanced digital mammography [PDF]

Journal of Digital Imaging, 1997
Mammography is the most effective method for early detection of breast cancer and yet, 10% to 30% of women who have breast cancer and undergo mammography have negative mammograms. Furthermore, of the women who are sent to biopsy, only 20% to 40% actually have breast cancer.
R B, Schilling, J D, Cox, S R, Sharma
openaire   +4 more sources

Digital Mammography

, 2006
The volume of dense breast tissue can be calculated from an X-ray mammogram by imaging a calibrated step-wedge alongside the breast and determining the compressed breast thickness. Previously published work uses a step-wedge made of PTFE with a maximum height of 35mm, length 175mm and width 15mm.
Matthew T. Freedman, Dorothy Steller Artz, Jaquelyn Hogge, Rebecca A. Zuurbier, Seong Ki Mun   +4 more
  +9 more sources

Diagnostic Accuracy of MR Mammography in Comparison with Digital Mammography and Sonomammography

Galician Medical Journal, 2022
Background. Even though the sensitivity of contrast-enhanced breast magnetic resonance mammography (CE-MRM) is consistently high in the range of 94-100%, conventionally, digital mammography and sonomammography continue as standard imaging modalities for ...
Sreenidhi Sedguli, Raghu Srinivasa Gowda, Rupa Ranganathan, Senthil Kumar B   +3 more
doaj   +1 more source

Dual energy contrast enhanced soft tissue digital mammography versus ultrasound elastography in the evaluation of breast masses

The Egyptian Journal of Radiology and Nuclear Medicine, 2017
Purpose: To evaluate the value of dual energy contrast enhanced (DECE) soft tissue digital mammography and ultrasound elastography (UE) in the detection of breast lesions and discrimination between benign and malignant ones.
Ayman M.A.M. Nada, Rashad Hamdi, Ahmed Shokry   +2 more
doaj   +1 more source

The synergy between AI and radiologist in advancing digital mammography: comparative study between stand-alone radiologist and concurrent use of artificial intelligence in BIRADS 4 and 5 female patients

The Egyptian Journal of Radiology and Nuclear Medicine, 2023
Background Recent significant advancements in speed and machine learning have profoundly changed artificial intelligence (AI). In order to evaluate the value of AI in the detection and diagnosis of BIRADS 4 and 5 breast lesions visible on digital ...
Eman Badawy, Fatma S. Shalaby, Safaa Ibrahim Saif-El-nasr, Aya Magdy Elyamany, Rania Mohamed Abbas Hegazy   +4 more
doaj   +1 more source