Open Access. Powered by Scholars. Published by Universities.®
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
Articles 1 - 3 of 3
Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment
Presenting A Simplified Assistant Tool For Breast Cancer Diagnosis In Mammography To Radiologists, Ping Zhang, Jenny Doust, Kuldeep Kumar
Presenting A Simplified Assistant Tool For Breast Cancer Diagnosis In Mammography To Radiologists, Ping Zhang, Jenny Doust, Kuldeep Kumar
Kuldeep Kumar
This paper proposes a method to simplify a computational model from logistic regression for clinical use without computer. The model was built using human interpreted features including some BI-RADS standardized features for diagnosing the malignant masses. It was compared with the diagnosis using only assessment categorization from BI-RADS. The research aims at assisting radiologists to diagnose the malignancy of breast cancer in a way without using automated computer aided diagnosis system.
A Neural-Genetic Algorithm For Feature Selection And Breast Abnormality Classification In Digital Mammography, Ping Zhang, Brijesh Verma, Kuldeep Kumar
A Neural-Genetic Algorithm For Feature Selection And Breast Abnormality Classification In Digital Mammography, Ping Zhang, Brijesh Verma, Kuldeep Kumar
Kuldeep Kumar
Digital mammography is one of the most suitable methods for early detection of breast cancer. It uses digital mammograms to find suspicious areas. However, it is very difficult to distinguish benign and malignant cases, especially for the small size lesions in the early stage of cancer. This is reflected in the high percentage of unnecessary biopsies that are performed and many deaths caused by late detection or misdiagnosis. A computer based feature selection and classification system can provide a second opinion to the radiologists. This work proposes a neural-genetic algorithm for feature selection in conjunction with neural network based classifier. …
Neural Vs Statistical Classifier In Conjunction With Genetic Algorithm Feature Selection In Digital Mammography, Ping Zhang, Brijesh Verma, Kuldeep Kumar
Neural Vs Statistical Classifier In Conjunction With Genetic Algorithm Feature Selection In Digital Mammography, Ping Zhang, Brijesh Verma, Kuldeep Kumar
Kuldeep Kumar
Digital mammography is one of the most suitable methods for early detection of breast cancer. It uses digital mammograms to find suspicious areas containing benign and malignant microcalcifications. However, it is very difficult to distinguish benign and malignant microcalcifications. This is reflected in the high percentage of unnecessary biopsies that are performed and many deaths caused by late detection or misdiagnosis. A computer based feature selection and classification system can provide a second opinion to the radiologists in assessment of microcalcifications. The research proposes and investigates a neural-genetic algorithm for feature selection in conjunction with neural and statistical classifiers to …