⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

March 16, 2026Infectious Disorders - Drug Targets

Corrigendum to: A Deep Neural Network Framework for the Detection of Bacterial Diseases from Chest X-Ray Scans

Shruti Jain Himanshu Jindal Monika Bharti

View Full Paper

Ask AI

Bookmark

Share

Key Points

To correct an identified error in the algorithm presented for bacterial disease detection.
Correction of Figure 4 in the original article.
Clarification of an incorrect symbol in the algorithm.
Maintaining the integrity of previously published results.
Error correction does not alter the results or conclusions of the original study.
The original algorithm parameters remain valid and unchanged.

Implication

Corrigendum highlights error correction in a neural network algorithm for diagnosing bacterial diseases using chest X-ray scans.

Abstract

No abstract yet. The journal hasn't published one we can show.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Jain et al. (2026) studied this question.

synapsesocial.com/papers/69bf393dc7b3c90b18b4393e https://doi.org/10.2174/1871526526999260316112709

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1An ensemble learning approach for detecting bacterial infections using chest X-ray imagingOriginal Research · 2026 · 1 citations
2Deep Learning-Based Pneumonia Detection from Chest X-Rays Using Convolutional Neural NetworksOriginal Research · 2026
3Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-rays2024 · 2 citations
4Deep Learning–based Diagnosis of Pulmonary Tuberculosis on Chest X-ray in the Emergency Department: A Retrospective StudyRetrospective Study · 2024 · 13 citations
5Enhancing Clinical Diagnosis With Convolutional Neural Networks: Developing High-Accuracy Deep Learning Models for Differentiating Thoracic Pathologies2024