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Cancer Diagnosis Support System: Neural Networks Approach
Witold Jacak, Karin Pröll
Research Center Hagenberg
Bioinformatics
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Dive into the research topics of 'Cancer Diagnosis Support System: Neural Networks Approach'. Together they form a unique fingerprint.
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Keyphrases
Neural Network Method
100%
Tumor Marker
100%
Diagnosis System
100%
Neural Network
33%
Cancer Types
33%
Prostate Cancer
22%
Blood Parameters
22%
Breast
22%
Lung
11%
Tumor Diagnosis
11%
System Use
11%
Non-cancer
11%
Early Detection
11%
Carbohydrate Antigen 125 (CA125)
11%
Ovarian Cancer
11%
Abnormal Value
11%
Post-diagnostic Support
11%
Heterogeneous Neural Network
11%
Gastrointestinal Tract Cancer
11%
Missing Markers
11%
Acute Coronary Syndrome
11%
Breast Cancer
11%
Medical Data
11%
Cancer Tumor
11%
Medical Examination
11%
Blood Plasma
11%
Support Needs
11%
Pancreas
11%
Prediction Task
11%
Cancer Prediction
11%
Incomplete Data
11%
Blood Examination
11%
Medicine and Dentistry
Tumor Marker
100%
Neural System
100%
Prostate Cancer
22%
Base
11%
CA-125
11%
Tumor Diagnosis
11%
Breast Cancer
11%
Carcinoembryonic Antigen
11%
Blood Examination
11%
Gastrointestinal Cancer
11%
Blood Plasma
11%
Ovarian Cancer
11%
Medical Examination
11%
Lung
11%
Acute Coronary Syndrome
11%
Biochemistry, Genetics and Molecular Biology
Tumor Marker
100%
Carcinoembryonic Antigen
11%
CA-125
11%
Gastrointestinal Tract
11%
Abnormal Value
11%
Blood Plasma
11%