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Dorit D. Adler
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2000 – 2009
- 2004
- [c3]Lubomir M. Hadjiiski, Mark A. Helvie, Berkman Sahiner, Heang-Ping Chan, Marilyn A. Roubidoux, Alexis V. Nees, Nicholas Petrick, Caroline E. Blane, Chintana Paramagul, Janet E. Bailey, Stephanie Patterson, Katherine Klein, Dorit D. Adler, Michelle Foster, Joseph Shen:
ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms. Image Processing 2004 - 2003
- [c2]Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Caroline E. Blane, Chintana Paramagul, Nicholas Petrick, Janet E. Bailey, Katherine Klein, Michelle Foster, Stephanie Patterson, Dorit D. Adler, Alexis V. Nees, Joseph Shen:
ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms. Image Processing 2003
1990 – 1999
- 1996
- [j1]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Datong Wei, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt:
Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. IEEE Trans. Medical Imaging 15(5): 598-610 (1996) - [c1]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt:
Classification of masses on mammograms using rubber-band straightening transform and feature analysis. Image Processing 1996
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