MRI-based brain tumor detection using the fusion of histogram oriented gradients and neural features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-020-00550-1.pdf
Reference41 articles.
1. American Brain Tumor Association (2020) Available online: https://www.abta.org/. Accessed 16 Jun 2020
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3. Tiwari A, Srivastava S, Pant M (2020) Brain tumor segmentation and classification from magnetic resonance images: review of selected methods from 2014 to 2019. Pattern Recognit Lett 131:244–260
4. Zhou C, Chen S, Ding C, Tao D (2018) Learning contextual and attentive information for brain tumor segmentation. In: International MICCAI brainlesion workshop, pp 497–507
5. Laukamp KR et al (2019) Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI. Eur Radiol 29(1):124–132. https://doi.org/10.1007/s00330-018-5595-8
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