A new method for segmentation of medical image using convolutional neural network-Reference-Cited by-同舟云学术

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A new method for segmentation of medical image using convolutional neural network

Published:2023-12-19 Issue: Volume: Page:
ISSN:0972-8821
Container-title:Journal of Optics
language:en
Short-container-title:J Opt

Author:

Luo Fugui,Qin Yunchu,Li Mingzhen,Song Qian

Funder

Guangxi Nature Science Foundation Project

Guangxi College Youth Basic Ability Improvement Project

High-level Talent Research Start-up Project

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics

Link

https://link.springer.com/content/pdf/10.1007/s12596-023-01543-w.pdf

Reference31 articles.

1. R.E Woods, R.C Gonzalez, Digital image processing (2008)

2. Z. Guangzhe et al., Bilateral U-Net semantic segmentation with spatial attention mechanism. CAAI Trans. Intell. Technol. (2022). https://doi.org/10.1049/cit2.12118

3. R.W. Field, B.L. Withers, Occupational and environmental causes of lung cancer. Clin. Chest Med. 33(4), 681–703 (2012)

4. S. Nimrah, S. Saifullah, Context-free word importance scores for attacking neural networks. J. Comput. Cognit. Eng. 1(4), 187–192 (2022). https://doi.org/10.47852/bonviewJCCE2202406

5. L. Fass, Imaging and cancer: a review. Mol. Oncol. 2(2), 115–152 (2008)

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