Segmentation and classification of brain tumor using wavelet and Zernike based features on MRI-Reference-Cited by-同舟云学术

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Segmentation and classification of brain tumor using wavelet and Zernike based features on MRI

Published:2016-10 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE International Conference on Advances in Computer Applications (ICACA)
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Author:

Sornam M.,Kavitha Muthu Subash,Shalini R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7879985/7887897/07887944.pdf?arnumber=7887944

Cited by 17 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. Expert-level diagnosis of pediatric posterior fossa tumors via consistency calibration;Knowledge-Based Systems;2024-07

2. Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation;Biomedical Signal Processing and Control;2023-08

3. An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning;Multimedia Tools and Applications;2023-02-27

4. Improving Multi-class Brain Tumor Detection Using Vision Transformer as Feature Extractor;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

5. Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI;Scientific Reports;2022-09-13

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