PulmoNet: a novel deep learning based pulmonary diseases detection model.

Journal Information

Full Title: BMC Med Imaging

Abbreviation: BMC Med Imaging

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Diagnostic Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
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Core Indicators
Data Sharing
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Evidence found in paper:

"Declarations Ethics approval and consent to participateThe dataset used in the study was obtained from a public repository (Kaggle), therefore ethical approval from the ethical committee is not applicable here.Not applicable. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

Evidence found in paper:

"Funding The research received no funding grant from any funding agency in the public, commercial, or not-for-profit sectors."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025