Search research articles
Contact Us
Filters
Showing results (51-60 of 104) with videos related to
Page
of 11
Sort By:
Medical Physics
|
March 1, 1994
Digital image subtraction of temporally sequential chest images for detection of interval change
A Kano, K Doi, H MacMahon, et al.
Medical Physics
|
May 1, 1986
Investigation of basic imaging properties in digital radiography. 8. Detection of simulated low-contrast objects in digital subtraction angiographic images
K Ohara, H P Chan, K Doi, et al.
Journal of Digital Imaging
|
May 1, 1993
Simulation studies of data classification by artificial neural networks: potential applications in medical imaging and decision making
Y Wu, K Doi, C E Metz, et al.
Investigative Radiology
|
February 1, 1992
Computerized scheme for the detection of pulmonary nodules. A nonlinear filtering technique
H Yoshimura, M L Giger, K Doi, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
January 1, 1990
Pulmonary nodules: computer-aided detection in digital chest images
M L Giger, K Doi, H MacMahon, et al.
Radiology
|
June 1, 1985
Dynamic and static phantoms for evaluation of digital subtraction angiographic systems
H Fujita, K Doi, H P Chan, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
November 1, 1996
Density correction of peripheral breast tissue on digital mammograms
U Bick, M L Giger, R A Schmidt, et al.
Medical Physics
|
April 1, 1996
An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms
W Zhang, K Doi, M L Giger, et al.
Academic Radiology
|
August 1, 1996
An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms
H Yoshida, K Doi, R M Nishikawa, et al.
Journal of Digital Imaging
|
November 1, 1994
Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme
Y C Wu, K Doi, M L Giger, et al.
Page
of 11
Search research articles
Search
Showing results (51-60 of 104) with videos related to
Sort By:
Page
of 11
Medical Physics
|
March 1, 1994
Digital image subtraction of temporally sequential chest images for detection of interval change
A Kano, K Doi, H MacMahon, et al.
Medical Physics
|
May 1, 1986
Investigation of basic imaging properties in digital radiography. 8. Detection of simulated low-contrast objects in digital subtraction angiographic images
K Ohara, H P Chan, K Doi, et al.
Journal of Digital Imaging
|
May 1, 1993
Simulation studies of data classification by artificial neural networks: potential applications in medical imaging and decision making
Y Wu, K Doi, C E Metz, et al.
Investigative Radiology
|
February 1, 1992
Computerized scheme for the detection of pulmonary nodules. A nonlinear filtering technique
H Yoshimura, M L Giger, K Doi, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
January 1, 1990
Pulmonary nodules: computer-aided detection in digital chest images
M L Giger, K Doi, H MacMahon, et al.
Radiology
|
June 1, 1985
Dynamic and static phantoms for evaluation of digital subtraction angiographic systems
H Fujita, K Doi, H P Chan, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
November 1, 1996
Density correction of peripheral breast tissue on digital mammograms
U Bick, M L Giger, R A Schmidt, et al.
Medical Physics
|
April 1, 1996
An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms
W Zhang, K Doi, M L Giger, et al.
Academic Radiology
|
August 1, 1996
An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms
H Yoshida, K Doi, R M Nishikawa, et al.
Journal of Digital Imaging
|
November 1, 1994
Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme
Y C Wu, K Doi, M L Giger, et al.
Page
of 11