Clinical Application of Neural Network for Cancer Detection Application

R Kishore Kanna; R Ravindraiah; C Priya; R Gomalavalli; Nimmagadda Muralikrishna

doi:10.4108/eetpht.10.5454

Authors

R Kishore Kanna Jerusalem College of Engineering
R Ravindraiah Madanapalle Institute of Technology & Science
C Priya Siddarth Institute of Engineering and Technology
R Gomalavalli Siddarth Institute of Engineering and Technology
Nimmagadda Muralikrishna PACE Institute of Technology and Sciences

DOI:

https://doi.org/10.4108/eetpht.10.5454

Keywords:

Cancer, Neural Network, Cells, ML

Abstract

INTRODUCTION: The field of medical diagnostics is currently confronted with a significant obstacle in the shape of cancer, a disease that tragically results in the loss of millions of lives each year. Ensuring the administration of appropriate treatment to cancer patients is of paramount significance for medical practitioners.

OBJECTIVES: Hence, the accurate identification of cancer cells holds significant importance. The timely identification of a condition can facilitates prompt diagnosis and intervention. Numerous researchers have devised multiple methodologies for the early detection of cancer.

METHODS: The accurate anticipation of cancer has consistently posed a significant and formidable undertaking for medical professionals and researchers. This article examines various neural network technologies utilised in the diagnosis of cancer.

RESULTS: Neural networks have emerged as a prominent area of research within the medical science field, particularly in disciplines such as cardiology, radiology, and oncology, among others.

CONCLUSION: The findings of this survey indicate that neural network technologies demonstrate a high level of efficacy in the diagnosis of cancer. A significant proportion of neural networks exhibit exceptional precision when it comes to categorizing tumours cells.

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References

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