A Novel Quantum States Based AI Learning on MRI Brain Slices for the Intracranial Tumor Detection

Author:

Raj A. Albert1,Jennifer R. Reeba2

Affiliation:

1. DMI Engineering College,Dept. of Electronics and Communication Engineering,Tamil Nadu,India

2. Sri Krishna College of Engineering and Technology,Dept. of Electronics and Communication Engineering,Coimbatore,India

Publisher

IEEE

Reference13 articles.

1. Comparative Study of Segmentation Techniques for Brain Tumor Detection;tambe;International Journal of Engineering Research & Technology (IJERT),2016

2. Segmentation of Brain Tumour from MRI image - Analysis of Kmeans and DBSCAN Clustering;bandyopadhyay;International Journal of Research in Engineering and Science (IJRES),2013

3. K-Means Clustering based Brain Tumor Detection and Area Calculation in MRI With Graphical user Interface;bawage;International Journal of Engineering Research & Technology,2015

4. An Efficient K-Means Clustering Algorithm for Analysing COVID-19

5. MRI Brain Image segmentation using Adaptive Thresholding and K-means Algorithm;kazi;International Journal of Computer Applications,2017

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1. Global Neurobotics: Integration of Artificial Intelligence and Robotics in Neurosurgical Procedures in Improved Diagnosis and Treatment;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

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