dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI

Author:

Raza Rehan,Ijaz Bajwa Usama,Mehmood Yasar,Waqas Anwar Muhammad,Hassan Jamal M.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference38 articles.

1. Z. Liu et al., “Deep Learning Based Brain Tumor Segmentation: A Survey,” 14(8), pp. 1–21, 2020, [Online]. Available: http://arxiv.org/abs/2007.09479.

2. Global, regional, and national burden of brain and other CNS cancer, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016;Patel;Lancet Neurol.,2019

3. Automated Brain Tumour Segmentation Using Cascaded 3D Densely-Connected U-Net;Ghaffari;Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics),2021

4. Tumor detection in medical imaging: a Survey;Mohd. Azhari;Int. J. Adv. Inf. Technol.,2014

5. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary;Louis;Acta Neuropathol.,2016

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