AIMC Topic: ROC Curve

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Breast tumor classification in ultrasound images using neural networks with improved generalization methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Mammography, scintimammography and ultrasound images have been used to increase the specificity of breast cancer image diagnosis. Concerning breast cancer image diagnosis with ultrasound, some results found in the literature show better performance o...
Female Mammography Algorithms Breast Neoplasms Retrospective Studies Ultrasonography Area Under Curve ROC Curve Humans Neural Networks, Computer
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Acute appendicitis diagnosis using artificial neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Artificial neural networks is one of pattern analyzer method which are rapidly applied on a bio-medical field.
Adolescent ROC Curve Acute Disease Appendicitis Severity of Illness Index Diagnosis, Computer-Assisted Young Adult Male Adult Middle Aged Humans Republic of Korea Sensitivity and Specificity Neural Networks, Computer Female Hospitals, University
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Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine.

Journal of Alzheimer's disease : JAD Jan 1, 2015
Alzheimer's disease (AD) is one of the most serious progressive neurodegenerative diseases among the elderly, therefore the identification of conversion to AD at the earlier stage has become a crucial issue. In this study, we applied multimodal suppo...
Alzheimer Disease Positron-Emission Tomography Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Female Multimodal Imaging Cohort Studies Aged ROC Curve Sensitivity and Specificity Aging Male Disease Progression Aged, 80 and over Humans Databases, Factual Brain
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Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2015
BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model anal...
Humans Neural Networks, Computer Female Carcinoma, Squamous Cell Risk Factors Prognosis Retrospective Studies Follow-Up Studies Neoplasm Staging Adenocarcinoma Carcinoma, Non-Small-Cell Lung Cross Infection Carcinoma, Large Cell Small Cell Lung Carcinoma Mycoses Fungi Middle Aged Incidence Adult Lung Neoplasms Aged Male Logistic Models Aged, 80 and over ROC Curve
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