Brain Tumor Classification Based on MRI Images and Noise Reduced Pathology Images

Author:

Yin Baocai,Cheng Hu,Wang Fengyan,Wang Zengfu

Publisher

Springer International Publishing

Reference22 articles.

1. Computational Precision Medicine Radiology-Pathology challenge on Brain Tumor Classification (2020). https://www.med.upenn.edu/cbica/cpm2020.html

2. Bakas, S., et al.: Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (2018)

3. Kumar, N., et al.: A multi-organ nucleus segmentation challenge. IEEE Trans. Med. Imaging 39, 5 (2017)

4. Choi, K.S., et al.: Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network. NEURO-ONCOLOGY 21, 9 (2019)

5. Decuyper, M., et al.: Automated MRI based pipeline for glioma segmentation and prediction of grade, IDH mutation and 1p19q co-deletion. MIDL 2020 (2020)

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