A Survey on Artificial Intelligence in Cancer Medical and Nonmedical Datasets

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2021 by IJETT Journal
Volume-69 Issue-3
Year of Publication : 2021
Authors : Ajni K Ajai, A. Anitha
DOI :  10.14445/22315381/IJETT-V69I3P231


MLA Style: Ajni K Ajai, A. Anitha"A Survey on Artificial Intelligence in Cancer Medical and Nonmedical Datasets" International Journal of Engineering Trends and Technology 69.3(2021):201-210. 

APA Style:Ajni K Ajai, A. Anitha. A Survey on Artificial Intelligence in Cancer Medical and Nonmedical Datasets  International Journal of Engineering Trends and Technology, 69(3),201-210.

Advances are the outcome of continually building on previous findings and surveillances. The study of cancer intends to a day when all cancers are cured by expanding efficient methods to prevent, detect, diagnose, treat cancer. This survey can accumulate extensive knowledge about solving meaningful, challenging, and neglected problems in cancer research. When the prognosis is worse and the treatment options are more critical, it leads the patients to the late stage of the disease, but if cancer diagnoses early, survival will be significantly improved. AI is changing our lives, and its work is detonating biomedical research and health care. The application potentials of AI are huge in all levels of cancer research. The integration of AI technology into cancer care is about saving a life through image analyzing, improving accuracy, speeding up the diagnosis, aid clinical decision-making, and patient triage with debility to reduce variation and duplicate testing. The subsets of AI are machine learning and deep learning. This review, pointing to the experimentally proved problem-solving for some challenging issues through their most effective methods.

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Clinical information, Deep learning, Early detection, Image analysis, Machine learning, Prevention.