Intelligent framework for brain tumor grading using advanced feature analysis-Reference-Cited by-同舟云学术

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Intelligent framework for brain tumor grading using advanced feature analysis

Published:2022-06-08 Issue: Volume: Page:1-19
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Mohan Geethu¹,M Monica Subashini¹

Affiliation:

1. School of Electronics Engineering, Vellore Institute of Technology, Vellore, India

Funder

funding agencies

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2022.2083017

Reference130 articles.

1. Computational Perceptual Features for Texture Representation and Retrieval

2. Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features

3. Digital pathology: current status and future perspectives

4. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings.

5. Segmentation methods of H&E-stained histological images of lymphoma: A review

Cited by 3 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. Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review;npj Imaging;2024-07-01

2. Artificial intelligence in histopathological image analysis of central nervous system tumours: A systematic review;Neuropathology and Applied Neurobiology;2024-05-13

3. A multi-class brain tumor grading system based on histopathological images using a hybrid YOLO and RESNET networks;Scientific Reports;2024-02-26

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