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Mammographic mass classification using filter response patches
Zobia Suhail
, Azam Hamidinekoo
,
Reyer Zwiggelaar
Department of Computer Science
University of the Punjab
Research output
:
Contribution to journal
›
Article
›
peer-review
6
Citations (Scopus)
Overview
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Dive into the research topics of 'Mammographic mass classification using filter response patches'. Together they form a unique fingerprint.
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Nursing and Health Professions
Classification
100%
Mammography
60%
Classifier
40%
Data Base
40%
Filter
40%
Bayesian Learning
40%
Receiver Operating Characteristic
20%
Screening
20%
Early Diagnosis
20%
Procedures
20%
Breast Cancer
20%
Earth and Planetary Sciences
Classification
80%
Data Base
40%
Response
40%
Abnormality
20%
Dictionary
20%
Region
20%
Area
20%
Breast
20%
Texture
20%
Receiver
20%
Diagnosis
20%
Agricultural and Biological Sciences
Classification
100%
Filters
40%
Screening
20%
Methodology
20%
Digital Database
20%
Breasts
20%
Accuracy
20%
Area
20%
Databases
20%
Computer Science
Classification
80%
Bayes Classifier
40%
Experimental Result
20%
Classification Accuracy
20%
Filter Bank
20%
Diagnosis
20%
Characteristic Curve
20%
Segmentation
20%
Biochemistry, Genetics and Molecular Biology
Classification
100%
Bayesian Learning
40%
Accuracy
20%
Screening
20%
Data Base
20%