An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature

Research article (Machine Vision and Applications, 2021) · cited 83× · AI/ML
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An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature

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An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-of-different-machine-learning-techniques-for-brain-tumor-classification-and-subsequent-segmentation-u
MLA “An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-of-different-machine-learning-techniques-for-brain-tumor-classification-and-subsequent-segmentation-u.
BibTeX @misc{4ortxyz_an-empirical-study-of-different-machine-learning-techniques-for-brain-tumor-classification-and-subsequent-segmentation-u_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-of-different-machine-learning-techniques-for-brain-tumor-classification-and-subsequent-segmentation-u}, note = {Accessed: 2026-05-24}}
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