Segmentation of brain tumor MRI image based on improved attention module Unet network-Reference-Cited by-同舟云学术

Segmentation of brain tumor MRI image based on improved attention module Unet network

Published:2023-01-05 Issue:5 Volume:17 Page:2277-2285
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Zhang Lei,Lan Chaofeng,Fu Lirong,Mao Xiuhuan,Zhang Meng

Funder

Natural Science Foundation of Heilongjiang Province

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-022-02443-5.pdf

Reference32 articles.

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3. Jiang, H., Diao, Z., Yao, Y.D.: deep learning techniques for tumor segmentation: a review. J. Supercomput. 4, 1–7 (2021)

4. TANG Shi. Study on segmentation algorithm of brain tumor MR image. Guangdong University of Tech-nolog., 2018: 1–65. (In Chinese)

5. Li, Xu., Jinniu, B., Leimin, Li.: Diagnosis of tumor based on GMM feature decision-making classification of brain MR Images. Control. Eng. 32(1), 1–6 (2008)

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