September 18, 2025

WITHDRAWN: Instance Segmentation of Burn Areas Using Position-Sensitive Convolutional Networks

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Instance segmentation for burn areas was explored using advanced convolutional networks, but ethical integrity was questioned.
Significant concerns arose regarding the integrity of methods used in the instance segmentation approach.
Position-sensitive convolutional networks were applied to segment burn areas, indicating potential applications in emergency response.
The withdrawal reflects a commitment to maintaining high ethical standards in research and publication.

Implication

Research demonstrates the use of position-sensitive convolutional networks for segmenting burn areas, highlighting potential ethical concerns.

Abstract

Abstract 11 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 Research Square has withdrawn this preprint due to significant concerns regarding the integrity of the work.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

Patel et al. (2025) studied this question.

synapsesocial.com/papers/68d461c231b076d99fa60e2f https://doi.org/10.21203/rs.3.rs-7469949/v2

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Implication

Research demonstrates the use of position-sensitive convolutional networks for segmenting burn areas, highlighting potential ethical concerns.

WITHDRAWN: Instance Segmentation of Burn Areas Using Position-Sensitive Convolutional Networks

Key Points

Implication

Abstract

Discussion

Cite This Study

WITHDRAWN: Instance Segmentation of Burn Areas Using Position-Sensitive Convolutional Networks

Key Points

Implication

Abstract

Discussion

Cite This Study

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