Automated segmentation of brain tumour images using deep learning-based model VGG19 and ResNet 101-Reference-Cited by-同舟云学术

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Automated segmentation of brain tumour images using deep learning-based model VGG19 and ResNet 101

Published:2023-09-18 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ali Sana,Agrawal Jitendra

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16828-2.pdf

Reference36 articles.

1. Abdou MA (2022) Literature review: Efficient deep neural networks techniques for medical image analysis. Neural Comput Appl pp 1–22

2. Abdullah N, Ngah UK, Aziz SA (2011) Image classification of brain mri using support vector machine. In: 2011 IEEE International conference on imaging systems and techniques. IEEE, pp 242–247

3. Ari A, Hanbay D (2018) Deep learning based brain tumor classification and detection system. Turkish Journal of Electrical Engineering and Computer Sciences 26(5):2275–2286

4. Ayadi W, Elhamzi W, Charfi I, Atri M (2021) Deep cnn for brain tumor classification. Neural Process Lett 53(1):671–700

5. Bankman I (2008) Handbook of medical image processing and analysis. Elsevier

Cited by 1 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. Resnet -101 and Faster R-CNN Fusion Accurate Brain Tumor Detection and Categorization;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

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