SwinVNETR: Swin V-net Transformer with non-local block for volumetric MRI Brain Tumor Segmentation
Author:
Affiliation:
1. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00051144.2024.2374179
Reference42 articles.
1. https://www.cancerresearchuk.org/about-cancer/brain-tumours/types.
2. https://www.aans.org/en/Patients/Neurosurgical-Conditions-and-Treatments/Brain-Tumors.
3. https://www.mayoclinic.org/diseases-conditions/brain-tumor/symptoms-causes/syc-20350084.
4. Zhao X Wu Y Song G et al. 3D brain tumor segmentation through integrating multiple 2D FCNNs. In Brainlesion: Glioma Multiple Sclerosis Stroke and Traumatic Brain Injuries: Third International Workshop BrainLes 2017 Held in Conjunction with MICCAI 2017 Quebec City QC Canada September 14 2017 Revised Selected Papers 3 pp. 191–203. Springer International Publishing 2018.
5. Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines
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