September 18, 2025

WITHDRAWN: Eczema Region Recognition in Dermatoscopic Images Using PyramidNet Architecture

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Integrating PyramidNet architecture enhances eczema region recognition in dermatoscopic images, improving accuracy.
Significant concerns about ethical integrity led to the withdrawal of the study, highlighting the importance of methodological transparency.
The application of advanced image recognition tools aims to support dermatologists in effective diagnosis and treatment.
Withholding publication due to ethical concerns underscores the need for trust in dermatological research findings.

Implication

Analysis utilizes PyramidNet architecture for eczema detection in dermatoscopic images, implying vital implications for skin diagnosis.

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 Research Square has withdrawn this preprint due to significant concerns regarding the integrity of the work.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

Mehta et al. (2025) studied this question.

synapsesocial.com/papers/68d461c231b076d99fa60e57 https://doi.org/10.21203/rs.3.rs-7458265/v2

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Implication

Analysis utilizes PyramidNet architecture for eczema detection in dermatoscopic images, implying vital implications for skin diagnosis.

WITHDRAWN: Eczema Region Recognition in Dermatoscopic Images Using PyramidNet Architecture

Key Points

Implication

Abstract

Discussion

Cite This Study

WITHDRAWN: Eczema Region Recognition in Dermatoscopic Images Using PyramidNet Architecture

Key Points

Implication

Abstract

Discussion

Cite This Study

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