Related references
Note: Only part of the references are listed.Importance of point-by-point back projection correction for isocentric motion in digital breast tomosynthesis: Relevance to morphology of structures such as microcalcifications
Ying Chen et al.
MEDICAL PHYSICS (2007)
Bilateral analysis based false positive reduction for computer-aided mass detection
Yi-Ta Wu et al.
MEDICAL PHYSICS (2007)
Information-theoretic CAD system in mammography: Entropy-based indexing for computational efficiency and robust performance
Georgia D. Tourassi et al.
MEDICAL PHYSICS (2007)
Multiprojection correlation imaging for improved detection of pulmonary nodules
Ehsan Samei et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2007)
Computer-aided detection of masses in digital tomosynthesis mammography: Combination of 3D and 2D detection information
Heang-Ping Chan et al.
MEDICAL IMAGING 2007: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2 (2007)
Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms
Georgia D. Tourassi et al.
MEDICAL PHYSICS (2007)
Digital breast tomosynthesis: Initial experience in 98 women with abnormal digital screening mammography
Steven P. Poplack et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2007)
Dual system approach to computer-aided detection of breast masses on mammograms
Jun Wei et al.
MEDICAL PHYSICS (2006)
Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes
Kenji Suzuki et al.
MEDICAL PHYSICS (2006)
Computer aided detection of clusters of microcalcifications on full field digital mammograms
Jun Ge et al.
MEDICAL PHYSICS (2006)
Joint two-view information for computerized detection of microcalcifications on mammograms
Berkman Sahiner et al.
MEDICAL PHYSICS (2006)
Computerized mass detection for digital breast tomosynthesis directly from the projection images
I Reiser et al.
MEDICAL PHYSICS (2006)
Computer-aided detection system for breast masses on digital tomosynthesis mammograms: Preliminary experience
HP Chan et al.
RADIOLOGY (2005)
Computer-aided detection of breast masses on full field digital mammogranris
J Wei et al.
MEDICAL PHYSICS (2005)
Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network
K Suzuki et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2005)
False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network
K Suzuki et al.
ACADEMIC RADIOLOGY (2005)
Tolerance to missing data using a likelihood ratio based classifier for computer-aided classification of breast cancer
AO Bilska-Wolak et al.
PHYSICS IN MEDICINE AND BIOLOGY (2004)
Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system
DM Catarious et al.
MEDICAL PHYSICS (2004)
Computer-assisted detection of mammographic masses: A template matching scheme based on mutual information
GD Tourassi et al.
MEDICAL PHYSICS (2003)
Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography
K Suzuki et al.
MEDICAL PHYSICS (2003)
Virtual colonoscopy: past, present, and future
AH Dachman et al.
RADIOLOGIC CLINICS OF NORTH AMERICA (2003)
Improvement of computerized mass detection on mammograms: Fusion of two-view information
S Paquerault et al.
MEDICAL PHYSICS (2002)
Improvement of mammographic mass characterization using spiculation measures and morphological features
B Sahiner et al.
MEDICAL PHYSICS (2001)
Knowledge-based computer-aided detection of masses on digitized mammograms: A preliminary assessment
YH Chang et al.
MEDICAL PHYSICS (2001)
False-positive reduction in CAD mass detection using a competitive classification strategy
LH Li et al.
MEDICAL PHYSICS (2001)
Computerized classification of benign and malignant masses on digitized mammograms: A study of robustness
ZM Huo et al.
ACADEMIC RADIOLOGY (2000)
A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films
SY Yu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2000)
Segmentation of suspicious clustered microcalcifications in mammograms
MA Gavrielides et al.
MEDICAL PHYSICS (2000)
Share Paper
