Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 1, 2019BMC BioinformaticsOpen Access

Deep convolutional neural networks for mammography: advances, challenges and applications

View Full Paper
Ask AI
Bookmark
Share

Authors

DADina AbdelhafizCity of Scientific Research and Technological ApplicationsCYClifford YangUConn HealthRAReda A. AmmarAl-Azhar University

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Abdelhafiz et al. (2019) studied this question.

synapsesocial.com/papers/6a102baad13714ec96ff4eefhttps://doi.org/10.1186/s12859-019-2823-4
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Detection of masses on mammograms using a convolution neural network2002 · 13 citations
  2. 2Quantifying the Benefits and Harms of Screening Mammography2013 · 202 citations