Improvement of mammographic lesion detection by fusion of information from different views

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4322, Issue 3, 2001, Pages 1883-1889

  Paquerault, Sophie ^a   Petrick, Nicholas ^a   Chan, Heang Ping ^a   Sahiner, Berkman ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Classification; Computer aided diagnosis; Fusion; Masses detection

Indexed keywords

COMPUTER AIDED DIAGNOSIS; IMAGE ANALYSIS; INFORMATION ANALYSIS; RADIOLOGY;

MASSES DETECTION;

MAMMOGRAPHY;

EID: 0034842205     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.431080     Document Type: Article

References (15)

1. The role of mammography in the diagnosis of breast cancer
2. Cancer statistics 1994
3. Benefit of independent double reading in a population-based mammography screening program
4. Mammography screening: One versus two views and independent double reading
5. The role of CAD in Mammography and missed lesions
6. Determining correspondence between views
7. Correspondence between two different views of x-ray mammograms using simulation of breast deformation
8. Multi-image CAD employing features derived from ipsilateral mammographic views
9. Computerized localization of breast lesions from two views - An experimental comparison of two methods
10. An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection
11. Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification
12. Combined adaptive enhancement and region-growing segmentation of breast masses on digitized mammograms
13. Prediction of object location in different views using geometrical models
14. An automatic method to discriminate malignant masses from normal tissue in digital mammorgrams
15. Recognition of lesion correspondence on two mammographic views - A new method of false-positive reduction for computerized mass detection