Automatic computed tomography image segmentation method for liver tumor based on a modified tokenized multilayer perceptron and attention mechanism

The proposed network demonstrated efficient liver tumor segmentation performance with less inference time. Our findings contribute to the application of neural networks in rapid clinical diagnosis and treatment.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-03-01
DOI
https://doi.org/10.21037/qims-24-2132
Citations
5
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
4.21
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article

Automatic computed tomography image segmentation method for liver tumor based on a modified tokenized multilayer perceptron and attention mechanism

Y. F. Lyu, Jie Zhang, Bo Han Yang, Jun Zhang
5 citations
Quantitative Imaging in Medicine and Surgery
Brain Tumor Detection and Classification
4.21
article

Automatic computed tomography image segmentation method for liver tumor based on a modified tokenized multilayer perceptron and attention mechanism

Y. F. Lyu, Jie Zhang, Bo Han Yang, Jun Zhang
article en
5 citations

Abstract

The proposed network demonstrated efficient liver tumor segmentation performance with less inference time. Our findings contribute to the application of neural networks in rapid clinical diagnosis and treatment.

Quantitative Imaging in Medicine and SurgeryVol. 15(3)
Donghua University (CN)
Openalex Percentile: Top 6%
Brain Tumor Detection and Classification
4.21
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