Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning-Reference-Cited by-同舟云学术

Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning

Published:2020-08-04 Issue: Volume:14 Page:
ISSN:1662-5188
Container-title:Frontiers in Computational Neuroscience
language:
Short-container-title:Front. Comput. Neurosci.

Author:

Baid Ujjwal,Rane Swapnil U.,Talbar Sanjay,Gupta Sudeep,Thakur Meenakshi H.,Moiyadi Aliasgar,Mahajan Abhishek

Funder

Ministry of Electronics and Information technology

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)

Reference29 articles.

1. Deep learning radiomics algorithm for gliomas (DRAG) model: a novel approach using 3D UNET based deep convolutional neural network for predicting survival in gliomas;Baid,2019

2. A novel approach for fully automatic intra-tumor segmentation with 3D U-Net architecture for gliomas;Baid;Front Comput Neurosci,2020

3. Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features;Bakas;Sci. Data

4. Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection;Bakas;Cancer Imaging Arch.

5. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge;Bakas;arXiv Prepr. arXiv,2019

Cited by 84 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. Leveraging segmentation-guided spatial feature embedding for overall survival prediction in glioblastoma with multimodal magnetic resonance imaging;Computer Methods and Programs in Biomedicine;2024-10

2. Combining the constitutive TRAIL-secreting induced neural stem cell therapy with the novel anti-cancer drug TR-107 in glioblastoma;Molecular Therapy: Oncology;2024-09

3. Exploiting the gut microbiome for brain tumour treatment;Trends in Molecular Medicine;2024-09

4. Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in Glioblastoma;Cancers;2024-08-01

5. Assessment of silver nanoparticles' antitumor effects: Insights into cell number, viability, and morphology of glioblastoma and prostate cancer cells;Toxicology in Vitro;2024-08