Machine Learning a Bit Of guidance in Neurosurgery's : A Review

Anumaan w

Abstract


Population growth and quick lifestyle changes have resulted in serious challenges at all ages, increasing the incidence of chronic neurological illnesses despite a drop in mortality. Recent technological breakthroughs have resulted in the expansion and use of artificial intelligence (AI) in several fields of neuroscience, and neurosurgery is no exception to this expanding trend. Massive volumes of integrated data have the potential to offer novel insights into the therapeutic approaches for neurological illnesses, including neurosurgery. AI is concerned with how computers learn from data and replicate human intellect, both of which are anticipated to become commonplace in the near future. 


Keywords


TTS, Artificial Intelligence, Machine Learning, Clin- ical Neurology, Neurosurgery, Neurodegenerative diseases, Cen- tral Nervous System.

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References


S. A. Bini, “Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?” J. Arthroplasty, vol. 33, no. 8, pp. 2358–2361, 2018, doi: 10.1016/j.arth.2018.02.067.

A. S. Sultan, M. A. Elgharib, T. Tavares, M. Jessri, and J. R. Basile, “The use of artificial intelligence, machine learning and deep learning in oncologic histopathology,” J. Oral Pathol. Med., vol. 49, no. 9, pp. 849–856, 2020, doi: 10.1111/jop.13042.

P. P. Shinde and S. Shah, “A Review of Machine Learning and Deep Learning Applications,” Proc. - 2018 4th Int. Conf. Comput. Commun. Control Autom. ICCUBEA 2018, pp. 1–6, 2018, doi: 10.1109/IC- CUBEA.2018.8697857.

Q. Bi, K. E. Goodman, J. Kaminsky, and J. Lessler, “What is machine learning? A primer for the epidemiologist,” Am. J. Epidemiol., vol. 188, no. 12, pp. 2222–2239, 2019, doi: 10.1093/aje/kwz189.

J. Yu et al., “Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma,” Eur. Radiol., vol. 27, no. 8, pp. 3509–3522, 2017, doi: 10.1007/s00330-016-4653-3.

R. Chen and M. Snyder, “Promise of personalized omics to precision medicine,” Wiley Interdiscip. Rev. Syst. Biol. Med., vol. 5, no. 1, pp. 73–82, 2013, doi: 10.1002/wsbm.1198.

Rui Ha, Pengyu Liu and Kebin Jia, "An Improved Adaptive Median Filter Algorithm and Its Application", International conference in Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2016.

Madhu S. Nair , P. M. Ameera Mol, "An Efficient Adaptive Weighted Switching Median Filter for Removing High Density Impulse Noise", Springer ,J. Inst. Eng. India, 95(3):255–278, 2014.

Duan F, Zhang Y-J,”A Highly effective impulse noise detection algorithm for switching median filters”, IEEE Signal Process. Lett., 17(7), pp. 647–650, 2010.

L. E. Rossovskii, "Image Filtering with the Use of anisotropic diffusion",ISSN 0965-5425, Computational Mathematics and Mathematical Physics,Vol. 57, No. 3, pp. 401–408, 2017.

Resmi R. Nair, Ebenezer David and Sivakumar Raja gopal, "A robust anisotropic diffusion filter with low arithmetic complexity for images", EURASIP Journal on Image and Video Processing, vol-48, 2019.

M. Hanmandlu, D.V. Ramona Murthy Vamsi Krishna Madasu, "Fuzzy Model based recognition of handwritten Hindi characters", International Conference on Computer and Information Science (ICIS 2007) 0-7695-2841-4,IEEE 2007.

Akanksha Gaur, Sunita Yadav, "Handwritten Hindi character recognition using K Means clustering and SVM", International Symposium on Emerging Trends and Technologies in Libraries and Information Services, pp. 65-70,IEEE 2015.

Nikita Singh, "An Efficient Approach for handwritten devanagari character recognition based on Artificial Neural Network", IEEE 2018.

Whig, P., & Ahmad, S. (2019). Methodology for Calibrating Photocatalytic Sensor Output. International Journal of Sustainable Development in Computing Science, 1(1), 1-10. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/4

Pawan Whig and S. N Ahmad, “CMOS Integrated VDBA-ISFET Device for Water Quality Monitoring, International journal of intelligent engineering and systems, accepted for publication 2014,Vol.7, No.1,2014. (Scopus) ISSN: 2185-3118

Pawan Whig and Vaibhav Bhatia,” Performance Analysis of Multi-Functional Bot System Design Using Microcontroller” International Journal of Intelligent Systems and Applications,2014 ,02 pp 69-75.ISSN No: 2074-9058

Pawan Whig and S. N. Ahmad, “Development of Low Power Dynamic Threshold PCS System”, Journal of Electrical and Electronic Systems,2014, Vol. 3, Issue3, pp. 1-6. ISSN No:2332-0796

Pawan Whig and S. N. Ahmad, “Novel FGMOS Based PCS Device for Low Power Applications ”,Photonic Sensor(Springer), 2015,Vol.5,Issue 2, pp 1-5.(SCI, ISI Index) ISSN No: 1674-9251

Pawan Whig and S. N. Ahmad,“Impact of Parameters on characteristic of Novel PCS” ,Canadian journal of Basic and applied Science, 2015 , Vol.3, Issue2,pp 45-52. ISSN No: 2292-3381

Ruchin, Chandan Mahto and Pawan Whig,” Design and Simulation of Dynamic UART Using Scan Path Technique (USPT)", International Journal of Electrical, Electronics & Computer Science Engineering” 2015,Vol 1, pp 6-11. ISSN No: 2348-2273

Aastha Sharma, Abhishek Kumar, Pawan Whig,” On the performance of CDTA based novel analog inverse low pass filter using 0.35µm CMOS parameter”, International Journal of Science, Technology & Management, 2015, Vol 4, Issue 1, pp. 594-601. ISSN No: 1460-6720

Pawan Whig and S. N Ahmad,” Simulation and Performance Analysis of Low Power Quasi Floating Gate PCS Model ”, International Journal of Intelligent Engineering and Systems, 2016, Vol 9, Issue 2, pp. 8-13(Scopus). ISSN: 2185-3118

Pawan Whig and S. N Ahmad ,” Ultraviolet Photo Catalytic Oxidation (UVPCO) Sensor for Air and Surface Sanitizers Using CS amplifier”, global Journal of researches in engineering: F 2016, Vol. 16, Issue 6, pp.1-13. ISSN Numbers: Online: 2249-4596 Print: 0975-5861 DOI: 10.17406/GJRE

Arrese A and Albarran AB (2003) Time and media markets: Summary and research agenda. In: Albarran AB and Arrese A (eds) Time and Media Markets. London: Lawrence Erlbaum Associates Publishers, pp. 161–171.


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