Simple and Fast Convolutional Neural Network Applied to Median Cross Sections for Predicting the Presence of MGMT Promoter Methylation in FLAIR MRI Scans-Reference-Cited by-同舟云学术

Simple and Fast Convolutional Neural Network Applied to Median Cross Sections for Predicting the Presence of MGMT Promoter Methylation in FLAIR MRI Scans

Published:2022 Issue: Volume: Page:227-238
ISSN:0302-9743
Container-title:Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
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Author:

Chen Daniel Tianming^ORCID,Chen Allen Tianle^ORCID,Wang Haiyan^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08999-2_18

Reference18 articles.

1. RSNA-MICCAI Brain Tumor Radiogenomic Classification Competition Overview. https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/overview. Accessed 31 Aug 2021

2. Baid, U., et al.: The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification, arXiv:2107.02314 (2021)

3. Smith, L.: A disciplined approach to neural network hyper-parameters: Part 1 - learning rate, batch size, momentum, and weight decay. US Naval Research Laboratory Technical Report 5510–026 (2018)

4. Chen, X., Zeng, M., Tong, Y., Zhang, T., et al.: Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis. BioMed Research International, vol. 2020, Article ID 9258649, 9 pages (2020). https://doi.org/10.1155/2020/9258649

5. Johnson, N.: Initial Notebook Brain Tumour. https://www.kaggle.com/nicholasjohnson2020/initial-notebook-brain-tumour. Accessed 8 Aug 2021

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