An automated and risk free WHO grading of glioma from MRI images using CNN

Author:

Gilanie Ghulam,Bajwa Usama IjazORCID,Waraich Mustansar Mahmood,Anwar Muhammad Waqas,Ullah Hafeez

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 5 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. MCE: Medical Cognition Embedded in 3D MRI feature extraction for advancing glioma staging;PLOS ONE;2024-05-31

2. Vision transformer based classification of gliomas from histopathological images;Expert Systems with Applications;2024-05

3. Dual-path parallel hierarchical diagnostic model of glioma based on pathomorphological feature;Biomedical Signal Processing and Control;2024-01

4. Enhancing Accuracy in Detection of Glioma Tumor Using DenseNet CNN;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

5. Multifractal Analysis of Brain Tumor Interface in Glioblastoma;Advances in Neurobiology;2023-10-12

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