Seybold Report ISSN: 1533-9211



Rayudu Srinivas, Shaik Jani, Anthani Kamala Priya, Polamuri.Sahithi, E..Siva Krushna

Vol 18, No 6 ( 2023 )   |  Licensing: CC 4.0   |   Pg no: 123-139   |   Published on: 16-06-2023

In this paper, Bibliometric survey has been carried out on Brain Tumor Detection and Classification from 1980 to 2021. Recent trends in research are based on AI (Artificial Intelligence) and ML (Machine learning). More specifically NN (Neural Networks) are used to detect abnormal region in Images and to classify the Images. Good number of papers are published in Scopus indexed journals and conferences on this topic. Scopus database has been used to analyze the documents published on this topic. There was total 1385 documents found on the topic of Brain Tumor Detection and Classification. The statistical analysis is carried out source wise, methods used to detect tumor region specifically Image processing methods, AI, NN and advanced methodologies. Network analysis is also carried out. The analysis shows that the number of papers published is increasing year wise from 2003 to 2020. This show that still there is a great scope for research on this topic. Highest number of publications is in the year 2020 and the number of documents published in this year is 252. VOSviewer1.6.16 software is used for the statistical analysis and network analysis on the database. The Source for all Tables and figures is, The data is assessed on 5thJuly, 2021.

Artificial Intelligence, Brain Tumor, Classification, Detection, Statistical Analysis, Network Analysis, Neural Network.

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