Fusing Multiple Deep Models for In Vivo Human Brain Hyperspectral Image Classification to Identify Glioblastoma Tumor-Reference-Cited by-同舟云学术

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Fusing Multiple Deep Models for In Vivo Human Brain Hyperspectral Image Classification to Identify Glioblastoma Tumor

Published:2021 Issue: Volume:70 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Hao Qiaobo^ORCID,Pei Yu^ORCID,Zhou Rong^ORCID,Sun Bin^ORCID,Sun Jun^ORCID,Li Shutao^ORCID,Kang Xudong^ORCID

Funder

National Natural Science Fund of China

Science and Technology Talents Program of Hunan Association for Science and Technology

Scientific Research Project of Hunan Education Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9259274/09562441.pdf?arnumber=9562441

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4. Artificial Intelligence-Based Brain Tumor Segmentation Using Adaptive Hybrid CNN and Classification by Multi-Scale Dilated MobileNet with Attention Mechanism for MRI Images;International Journal of Image and Graphics;2024-06-21

5. Advances and Challenges in Brain Tumor Classification and Segmentation: A Comprehensive Review;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

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