Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape-Reference-Cited by-同舟云学术

Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape

Published:2016 Issue: Volume: Page:168-180
ISSN:0302-9743
Container-title:Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
language:
Short-container-title:

Author:

Agn Mikael,Puonti Oula,Rosenschöld Per Munck af,Law Ian,Van Leemput Koen

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-30858-6_15

Reference15 articles.

1. Tustison, N., et al.: ANTs and Árboles. In: Proceedings of the MICCAI-BRATS 2013 (2013)

2. Havaei, M., et al.: A convolutional neural network approach to brain tumor segmentation. In: Proceedings of the MICCAI-BRATS 2015 (2015)

3. Pereira, S., et al.: Deep convolutional neural networks for the segmentation of gliomas in multi-sequence MRI. In: Proceedings of the MICCAI-BRATS 2015 (2015)

4. Menze, B.H., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imaging 34(10), 1993–2024 (2015)

5. Lecture Notes in Computer Science;D Kwon,2014

Cited by 35 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. Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks;Scientific Reports;2024-04-25

2. Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review;IEEE Reviews in Biomedical Engineering;2023

3. An Efficient Optimization Approach for Glioma Tumor Segmentation in Brain MRI;Journal of Digital Imaging;2022-08-22

4. Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective;Frontiers in Oncology;2022-08-02

5. A Comprehensive Survey on Brain Tumor Diagnosis Using Deep Learning and Emerging Hybrid Techniques with Multi-modal MR Image;Archives of Computational Methods in Engineering;2022-05-09