International Journal of Scientific Research in Science and Technology · 2024 · 25 citations · 14 references
ComputingComputer ScienceOncologyBiomedical ImagingData MiningMachine LearningAnomaly DetectionCancer BiomarkersCancer DetectionCancer DiagnosisComputer-aided DiagnosisIntrusion DetectionAnomaly Detection In Medical SystemsArtificial Intelligence For DetectionCancer Biomarker DetectionCancer DiagnosticsClusteringComputer-aided Tumor DiagnosisEthical NormsTimely Diagnosis Of Cancer
This study looks into the possibilities and related challenges of using artificial intelligence (AI) to identify cancer. AI technologies have become attractive tools in oncology because of the growing complexity of medical data and the need for precise and timely cancer diagnosis. In reviewing the state of AI applications for cancer detection today, the paper focuses on biomarker analysis, medical imaging, and biomarker analysis. Additionally continuing conversation on how to use technology to improve cancer diagnostics' efficiency and accuracy while maintaining ethical norms and patient safety.
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Dorothy E. Denning · IEEE Transactions on Software Engineering · 1987 · 3.4K citations
Intrusion detection: a brief history and overview
Richard A. Kemmerer, Giovanni Vigna · Computer · 2002 · 383 citations
Y-means: a clustering method for intrusion detection
Yunguo Guan, Ali A. Ghorbani, Nabil Belacel · 2004 · 175 citations · Full text