Attention Connect Network for Liver Tumor Segmentation from CT and MRI Images.

Authors:
Shao J; Luan S; Ding Y; Xue X; Zhu B and 1 more

Journal:
Technol Cancer Res Treat

Publication Year: 2024

DOI:
10.1177/15330338231219366

PMCID:
PMC10771068

PMID:
38179668

Journal Information

Full Title: Technol Cancer Res Treat

Abbreviation: Technol Cancer Res Treat

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Therapeutics

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Evidence found in paper:

"for those interested the code for this research article can be accessed at the following github repository: https://github com/killian-zero/py_tumor-segmentation git liver tumor segmentation deep learning transformers convolutional neural network fine-tuning typesetter ts19 cover-date january-december 2024 in recent times liver cancer has emerged as a significant health threat contributing to a substantial number of annual fatalities."

Evidence found in paper:

"The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Health Commission of Hubei Province scientific research project, National Natural Science Foundation of China, the Shenzhen Basic Science Research, the Natural Science Foundation of Hubei Province (grant number WJ2021M192, 12075095, U22A20259, JCYJ20200109110006136, 2022CFB938)."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025