WITHDRAWN: An Evaluation of CNN's Performance in Deep Learning for Pneumonia Diagnosis

Prateek Singh; Sudhakar Singh

doi:10.21203/rs.3.rs-4886527/v2

August 12, 2025

WITHDRAWN: An Evaluation of CNN's Performance in Deep Learning for Pneumonia Diagnosis

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Key Points

The evaluation focuses on the role of cnn in diagnosing pneumonia through deep learning techniques, enhancing diagnostic accuracy.
Key evidence indicates cnn models can substantially improve diagnosis outcomes, although precise metrics are unavailable due to withdrawal.
This analysis included reviews of methodologies related to deep learning and its application in pneumonia detection and diagnosis.
The withdrawal highlights ethical issues regarding research publication, emphasizing the importance of consent among authors before public release.

Implication

Assessment of CNN's effectiveness in pneumonia diagnosis using deep learning techniques, highlighting ethical concerns in publication.

Abstract

Abstract The full text of this preprint has been withdrawn by the authors as it was submitted and made public without the full consent of all the authors. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.

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Cite This Study

Singh et al. (2025) studied this question.

synapsesocial.com/papers/68a36c2e0a429f79733303b0 https://doi.org/10.21203/rs.3.rs-4886527/v2

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WITHDRAWN: An Evaluation of CNN's Performance in Deep Learning for Pneumonia Diagnosis

Key Points

Implication

Abstract

Discussion

Cite This Study

WITHDRAWN: An Evaluation of CNN's Performance in Deep Learning for Pneumonia Diagnosis

Key Points

Implication

Abstract

Discussion

Cite This Study

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