September 10, 2025Open Access

WITHDRAWN: Subcutaneous Blood Vessel Boundary Detection Using Deep Convolutional Networks

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Significant concerns led to the withdrawal of the work on blood vessel boundary detection using deep learning techniques.
The integrity of the research was questioned, placing doubts on the reliability of the findings presented.
The work aimed to improve subcutaneous blood vessel detection but faced ethical issues that undermined its credibility.
Maintaining high standards of ethical conduct is essential, especially in technological research like deep learning.

Implication

Research reveals concerns with blood vessel boundary detection using deep convolutional networks, indicating ethical shortcomings.

Abstract

Abstract 4 September, 2025. Research Square has withdrawn this preprint due to significant concerns regarding the integrity of the work. Maintaining high standards of ethical conduct is essential to our platform.

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Cite This Study

Choi et al. (2025) studied this question.

synapsesocial.com/papers/68c189ca9b7b07f3a0613096 https://doi.org/10.21203/rs.3.rs-7418368/v2

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Implication

Research reveals concerns with blood vessel boundary detection using deep convolutional networks, indicating ethical shortcomings.

WITHDRAWN: Subcutaneous Blood Vessel Boundary Detection Using Deep Convolutional Networks

Key Points

Implication

Abstract

Discussion

Cite This Study

WITHDRAWN: Subcutaneous Blood Vessel Boundary Detection Using Deep Convolutional Networks

Key Points

Implication

Abstract

Discussion

Cite This Study

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