Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods-Reference-Cited by-同舟云学术

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Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

Published:2023-09-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB)
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Author:

Letyagin Andrey¹,Amelina Evgeniya²,Tuchinov Bair²,Groza Vladimir²,Amelin Mikhail³,Golushko Sergey⁴,Pavlovskiy Evgeniy²

Affiliation:

1. Research Institute of Clinical and Experimental Lymphology,Branch of IC&G SB RAS,Novosibirsk,Russia

2. Novosibirsk State University,SDAML lab.,Novosibirsk,Russia

3. FSBI “Federal Neurosurgical Center”,Radiodiagnosis dept.,Novosibirsk,Russia

4. Novosibirsk State University,Novosibirsk,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10329457/10329623/10329808.pdf?arnumber=10329808

Reference16 articles.

1. Cross-Modality Augmentation of Brain Mr Images Using a Novel Pairwise Generative Adversarial Network for Enhanced Glioma Classification

2. HeMIS: Hetero-Modal Image Segmentation

3. PIMMS: permutation invariant multi-modal segmentation;Varsavsky,2018

4. Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation

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