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Relevance of echo-structure and texture features: an application in ultrasound breast tumor classification
Gopal Karemore
, Jhinuk Basu Mullick, Dr. Rajagopal KV,
Mads Nielsen
, Dr. Santhosh Chidangil
Department of Computer Science
Department of Computer Science
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Dive into the research topics of 'Relevance of echo-structure and texture features: an application in ultrasound breast tumor classification'. Together they form a unique fingerprint.
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Medicine and Dentistry
Tumor Classification
100%
Breast Tumor
100%
Neoplasm
50%
Benign Tumor
50%
Rank Sum Test
25%
Logistic Regression Analysis
25%
Malignant Neoplasm
25%
Keyphrases
Ultrasound Breast
100%
Breast Tumor Classification
100%
Angular Moment
33%
Correlation Entropy
16%
Benign Breast Tumor
16%
Inverse Difference Moment
16%
Five Parameters
16%
Tumor Status
16%
Texture Statistics
16%
Sonographic Image
16%
Pharmacology, Toxicology and Pharmaceutical Science
Tumor Classification
100%
Breast Tumor
100%
Benign Neoplasm
50%
Neoplasm
50%
Malignant Neoplasm
25%
Nursing and Health Professions
Tumor Classification
100%
Transducer
25%
Material Science
Tumor
100%
Neuroscience
Breast Ultrasonography
100%