Improved detection of architectural distortion in digital mammography using distortion-weighted image (DiWI): a new mathematical image-filtering technique by the pinwheel-framelet processing method

Takuya Ueda,Hiroko Tsunoda,Hitoshi Arai,Emiko Morishita,Gensuke Akaike,Shinobu Arai

Improved detection of architectural distortion in digital mammography using distortion-weighted image (DiWI): a new mathematical image-filtering technique by the pinwheel-framelet processing method

2014

Takuya Ueda
Hiroko Tsunoda
Hitoshi Arai
Emiko Morishita
Gensuke Akaike
Shinobu Arai

Poster: "ECR 2014 / B-0334 / Improved detection of architectural distortion in digital mammography using distortion-weighted image (DiWI): a new mathematical image-filtering technique by the pinwheel-framelet processing method" by: "T. Ueda, H. Tsunoda, H. Arai, E. Morishita, G. Akaike, S. Arai; Tokyo/JP"

Keywords:

Pinwheel
Computer graphics (images)
Distortion
Akaike information criterion
Filter (signal processing)
Digital mammography
Computer vision
Computer science
Architectural Distortion
Artificial intelligence
processing methods

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