Results 81 to 90 of about 13,360 (158)

AI assistance improves reader agreement in digital mammography: A multireader crossover study of general and breast subspecialty radiologists. [PDF]

Sci Rep
Ahmadzade M, Rouientan H, Abdi N, Norouzi M, Hakimi M, Bahrambeigi M, Khalili Pouya E, Bahmanyar F, Haghi S, Abbasi F, Madadi H, Bakhtavar K, Laalinia H, Ahmadinejad N, Rabiee P, Moosavian F, Akhlaghpoor S.   +16 more
europepmc   +1 more source

A Comparative Analysis of Digital Mammography and Digital Breast Tomosynthesis in Japanese Women. [PDF]

Cureus
Hara A, Ozaki A, Wada M, Gonda K, Hagiwara A, Shirato M, Kariya N, Yasui A, Omori R, Nashimoto M, Sawano T, Kurokawa T, Tachibana K, Ohtake T, Shimmura H, Uematsu T.   +15 more
europepmc   +1 more source

A Novel Deep Learning Framework for Nipple Segmentation in Digital Mammography. [PDF]

J Imaging Inform Med
Rogozinski M, Hurtado J, Sierra-Franco CA, R Hall Barbosa C, Raposo A.   +4 more
europepmc   +1 more source

Predicting the quality of digital mammography from the perspective of detectability of microcalcifications: A Radiomics approach. [PDF]

Med Phys
Soares LE, Borges LR, Caron RF, Nersissian DY, Vieira MAC.   +4 more
europepmc   +1 more source

Digital mammography

Juntendo Medical Journal, 2007
openaire   +2 more sources

Contrast-Enhanced Mammography Versus Digital Mammography and Tomosynthesis in Dense Breasts: Diagnostic Accuracy and Impact on Surgical Planning in Multifocal and Multicentric Breast Carcinoma. [PDF]

Cureus
Malik M, Baneen Zahra U, Fayyaz M, Idrees RB, Abdullah I, Rashid Mirza Z, Aasim M.   +6 more
europepmc   +1 more source

Influence of the number of images on threshold image contrast measurements with a phantom with gold disks in digital mammography. [PDF]

Radiol Phys Technol
Biegała M, Batolik A.
europepmc   +1 more source

Deep learning-based bacterial foraging optimization algorithm to improve digital mammography-based breast cancer detection. [PDF]

Sci Rep
Banumathy D, Karthikeyan D, Mohanraj G, Sarathkumar R.   +3 more
europepmc   +1 more source

Inter-phantom variability in digital mammography: implications for quality control. [PDF]

Eur Radiol Exp
Gennaro G, Contento G, Ballaminut A, Caumo F.   +3 more
europepmc   +1 more source

Results from a Swedish model-based analysis of the cost-effectiveness of AI-assisted digital mammography. [PDF]

Eur Radiol
Lyth J, Gialias P, Husberg M, Bernfort L, Bjerner T, Wiberg MK, Levin LÅ, Gustafsson H.   +7 more
europepmc   +1 more source