An Improved Implementation of Brain Tumor Detection Using Segmentation Based on Hierarchical Self Organizing Map-Reference-Cited by-同舟云学术

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An Improved Implementation of Brain Tumor Detection Using Segmentation Based on Hierarchical Self Organizing Map

Published:2010 Issue: Volume: Page:591-595
ISSN:1793-8201
Container-title:International Journal of Computer Theory and Engineering
language:
Short-container-title:IJCTE

Author:

Logeswari T.,Karnan M.

Publisher

IACSIT Press

Link

http://www.ijcte.org/papers/207-H210.pdf

Cited by 66 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Unified Pipeline for Simultaneous Brain Tumor Classification and Segmentation Using Fine-Tuned CNN and Residual UNet Architecture;Life;2024-09-10

2. Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks;Computer Methods and Programs in Biomedicine;2024-06

3. Brain Tumor Detection Using AIML;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

4. Contrast Normalization Strategies in Brain Tumor Imaging: From Preprocessing to Classification;Computer Modeling in Engineering & Sciences;2024

5. Improved Brain Tumor Segmentation and Classification in Brain MRI With FCM-SVM: A Diagnostic Approach;IEEE Access;2024

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