Brain Tumor Radiogenomic Classification

Amr Mohamed, Mahmoud Rabea, Aya Sameh, Ehab Kamal

1/11/2024

eess.IVcs.CVcs.LG

No official code found. Best implementation: SrLozano/Brain-Tumor-Radiogenomic-Classification (8 stars, TensorFlow, last commit 2022-12-14). 3 more below.

Abstract

The RSNA-MICCAI brain tumor radiogenomic classification challenge aimed to predict MGMT biomarker status in glioblastoma through binary classification on Multi parameter mpMRI scans: T1w, T1wCE, T2w and FLAIR. The dataset is splitted into three main cohorts: training set, validation set which were used during training, and the testing were only used during final evaluation. Images were either in a DICOM format or in Png format. different architectures were used to investigate the problem including the 3D version of Vision Transformer (ViT3D), ResNet50, Xception and EfficientNet-B3. AUC was used as the main evaluation metric and the results showed an advantage for both the ViT3D and the Xception models achieving 0.6015 and 0.61745 respectively on the testing set. compared to other results, our results proved to be valid given the complexity of the task. further improvements can be made through exploring different strategies, different architectures and more diverse datasets.

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Code Implementations(4)

SrLozano/Brain-Tumor-Radiogenomic-ClassificationCommunity69%

TensorFlow

Brain Tumor Radiogenomic Classification task solved by Transfer Learning at Universitat de Barcelona and Universitat Politècnica de Catalunya · BarcelonaTech

82Jupyter NotebookDec 1, 20223 years ago

brain-tumor-classificationconvolutional-neural-networksdeep-learningkerasmedical-image-analysis+3 more

anlthms/rsna-miccai-2021Community66%

RSNA-MICCAI Brain Tumor Radiogenomic Classification

31Shell, PythonAug 4, 20215 years ago

Kaveh8/Brain-Tumor-3D-MRI-ClassificationCommunity63%

RSNA-MICCAI Brain Tumor Radiogenomic Classification - Predict the status of a genetic biomarker important for brain cancer treatment

20Jupyter NotebookJan 24, 20224 years ago

jpjuvo/RSNA-MICCAI-Brain-Tumor-ClassificationCommunity59%

MIT

solution to https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/overview

61Shell, PythonAug 26, 20215 years agoMIT

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Cite this paper

@article{mohamed2024brain,
  title  = {Brain Tumor Radiogenomic Classification},
  author = {Amr Mohamed and Mahmoud Rabea and Aya Sameh and Ehab Kamal},
  year   = {2024},
  eprint = {2401.09471},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.09471v1}
}

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