output
20182026
most citedDeep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation

41 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018Show all

2 papers · 1 filter

cs.CV2018

Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation

Joris van Vugt, Elena Marchiori, Ritse Mann +3

Computer-aided detection aims to improve breast cancer screening programs by helping radiologists to evaluate digital mammography (DM) exams. DM exams are generated by devices from…

physics.med-ph2018★ 1 cited

Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction

Nikita Moriakov, Koen Michielsen, Jonas Adler +3

Digital breast tomosynthesis is rapidly replacing digital mammography as the basic x-ray technique for evaluation of the breasts. However, the sparse sampling and limited angular r…