A brain tumor prediction system for detecting the tumor disease using mini batch K-Means clustering and CNN-Reference-Cited by-同舟云学术

A brain tumor prediction system for detecting the tumor disease using mini batch K-Means clustering and CNN

Published:2024-03-14 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ganapathy Sannasi,Thoidingjam Vikrant,Sen Amrit

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18790-z.pdf

Reference29 articles.

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2. Nivea Kesav MG, Jibukumar (2022) Efficient and low complex architecture for detection and classification of Brain Tumor using RCNN with Two Channel CNN. J King Saud Univ - Comput Informat Sci 34(8):6229–6242

3. Jian M, Zhang X, Ma L, Hui Yu (2020) Tumor Detection in MRI Brain Images Based on Saliency Computational Modeling. IFAC-Papers OnLine 53(5):43–46

4. Çinar A, Yildirim M (2020) Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture. Med Hypotheses 139:1–8

5. Kalaiselvi T, Kumarashankar P, Sriramakrishnan P, Karthigaiselvi S (2019) Brain Tumor Detection from Multimodal MRI Brain Images using Pseudo Coloring Processes. Proc Comput Sci 165:173–181

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