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Thijs Kooi et al.
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Hayit Greenspan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Simulation and assessment of realistic breast lesions using fractal growth models
A. Rashidnasab et al.
PHYSICS IN MEDICINE AND BIOLOGY (2013)
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2011)
Improving object detection with boosted histograms
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IMAGE AND VISION COMPUTING (2009)
Simulation of mammographic lesions
R Saunders et al.
ACADEMIC RADIOLOGY (2006)
A trainable system for object detection
C Papageorgiou et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2000)