Publication | Open Access
Neural Network Techniques for Cancer Prediction: A Survey
94
Citations
12
References
2015
Year
EngineeringMachine LearningDreadful DiseaseDigital PathologyPathologyCancer PatientsComputational MedicineBiostatisticsCancer ResearchPrediction ModellingRadiologyNeural NetworksDeep LearningMedical Image ComputingRadiomicsComputer-aided DiagnosisMedicineCancer PredictionHealth Informatics
Cancer is a dreadful disease. Millions of people died every year because of this disease. It is very essential for medical practitioners to opt a proper treatment for cancer patients. Therefore cancer cells should be identified correctly. Neural networks are currently a burning research area in medical science, especially in the areas of cardiology, radiology, oncology, urology and etc. In this paper, we are surveying various neural network technologies for classification of cancer. The main aim of this survey in medical diagnostics is to guide researchers to develop most cost effective and user friendly systems, processes and approaches for clinicians.
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