A mobile automated mammography system.
Automated processing of mammograms has been studied for several years. Until the last few years much of the efforts have produced marginal results due to the limitations of inexpensive hardware. Even with the advanced hardware no one has yet taken an entire mammogram and determined whether it is normal or abnormal. We outline a method here to attempt to do just that.
Micheli-Tzanakou
E
E
Rutgers University, New Brunswick, NJ 08903, USA.
Cooley
M T
MT
D001941:Breast Diseases / Q000000981:diagnostic imaging; D001943:Breast Neoplasms / Q000000981:diagnostic imaging; D002114:Calcinosis / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008327:Mammography / Q000639:trends*; D008838:Microcomputers; D008952:Mobile Health Units; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted; D012984:Software; D018511:Systems Integration; D014481:United States