Robert Nishikawa
Robert Nishikawa
Zweryfikowany adres z
Cytowane przez
Cytowane przez
A support vector machine approach for detection of microcalcifications
I El-Naqa, Y Yang, MN Wernick, NP Galatsanos, RM Nishikawa
IEEE transactions on medical imaging 21 (12), 1552-1563, 2002
Improving breast cancer diagnosis with computer-aided diagnosis
Y Jiang, RM Nishikawa, RA Schmidt, CE Metz, ML Giger, K Doi
Academic radiology 6 (1), 22-33, 1999
A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications
L Wei, Y Yang, RM Nishikawa, Y Jiang
IEEE transactions on medical imaging 24 (3), 371-380, 2005
A similarity learning approach to content-based image retrieval: application to digital mammography
I El-Naqa, Y Yang, NP Galatsanos, RM Nishikawa, MN Wernick
IEEE transactions on medical imaging 23 (10), 1233-1244, 2004
Malignant and benign clustered microcalcifications: automated feature analysis and classification.
Y Jiang, RM Nishikawa, DE Wolverton, CE Metz, ML Giger, RA Schmidt, ...
Radiology 198 (3), 671-678, 1996
A receiver operating characteristic partial area index for highly sensitive diagnostic tests.
Y Jiang, CE Metz, RM Nishikawa
Radiology 201 (3), 745-750, 1996
Computer-aided diagnosis in radiology: potential and pitfalls
K Doi, H MacMahon, S Katsuragawa, RM Nishikawa, Y Jiang
European journal of Radiology 31 (2), 97-109, 1999
Current status and future directions of computer-aided diagnosis in mammography
RM Nishikawa
Computerized Medical Imaging and Graphics 31 (4-5), 224-235, 2007
Digital mammography
MJ Yaffe
PACS, 363-371, 2006
Methods for improving the accuracy in differential diagnosis on radiologic examinations
RM Nishikawa, Y Jiang, K Ashizawa, K Doi
US Patent 6,058,322, 2000
Computerized detection of clustered microcalcifications in digital mammograms: applications of artificial neural networks
Y Wu, K Doi, ML Giger, RM Nishikawa
Medical physics 19 (3), 555-560, 1992
Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image‐reconstruction algorithms
EY Sidky, X Pan, IS Reiser, RM Nishikawa, RH Moore, DB Kopans
Medical physics 36 (11), 4920-4932, 2009
Effect of case selection on the performance of computer‐aided detection schemes
RM Nishikawa, ML Giger, K Doi, CE Metz, FF Yin, CJ Vyborny, ...
Medical Physics 21 (2), 265-269, 1994
Computerized detection of clustered microcalcifications in digital mammograms using a shift‐invariant artificial neural network
W Zhang, K Doi, ML Giger, Y Wu, RM Nishikawa, RA Schmidt
Medical physics 21 (4), 517-524, 1994
Relevance vector machine for automatic detection of clustered microcalcifications
L Wei, Y Yang, RM Nishikawa, MN Wernick, A Edwards
IEEE transactions on medical imaging 24 (10), 1278-1285, 2005
Task‐based assessment of breast tomosynthesis: Effect of acquisition parameters and quantum noise a
I Reiser, RM Nishikawa
Medical physics 37 (4), 1591-1600, 2010
Potential of computer-aided diagnosis to reduce variability in radiologists’ interpretations of mammograms depicting microcalcifications
Y Jiang, RM Nishikawa, RA Schmidt, AY Toledano, K Doi
Radiology 220 (3), 787-794, 2001
Scale-space signatures for the detection of clustered microcalcifications in digital mammograms
T Netsch, HO Peitgen
IEEE Transactions on medical imaging 18 (9), 774-786, 1999
Scanned‐projection digital mammography
RM Nishikawa, GE Mawdsley, A Fenster, MJ Yaffe
Medical Physics 14 (5), 717-727, 1987
Automated segmentation of digitized mammograms
U Bick, ML Giger, RA Schmidt, RM Nishikawa, DE Wolverton, K Doi
Academic radiology 2 (1), 1-9, 1995
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