Development of an expert-annotated chest X-ray dataset to support AI validation in tuberculosis diagnosis.

Tanomkiat W, Timsina SR, Ingviya T, Chaichulee S, Yutchawit P, Thuncharoenkanka C, Pannuan W, Chantharat C, Kerdmeesup U, Kiranantawat N, Nirattisaikul S, Tungsagunwattana S, Dissaneevate K, Sukkasem W, Toh C, Teerajaruwat S

Open source

DOI
10.1186/s13244-026-02334-0
Published
2026 Jul 10
Container
Insights into imaging
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s13244-026-02334-0,
  title = {Development of an expert-annotated chest X-ray dataset to support AI validation in tuberculosis diagnosis.},
  author = {Tanomkiat W and Timsina SR and Ingviya T and Chaichulee S and Yutchawit P and Thuncharoenkanka C and Pannuan W and Chantharat C and Kerdmeesup U and Kiranantawat N and Nirattisaikul S and Tungsagunwattana S and Dissaneevate K and Sukkasem W and Toh C and Teerajaruwat S},
  year = {2026},
  journal = {Insights into imaging},
  doi = {10.1186/s13244-026-02334-0},
  url = {https://doi.org/10.1186/s13244-026-02334-0}
}

RIS

TY  - JOUR
TI  - Development of an expert-annotated chest X-ray dataset to support AI validation in tuberculosis diagnosis.
AU  - Tanomkiat W
AU  - Timsina SR
AU  - Ingviya T
AU  - Chaichulee S
AU  - Yutchawit P
AU  - Thuncharoenkanka C
AU  - Pannuan W
AU  - Chantharat C
AU  - Kerdmeesup U
AU  - Kiranantawat N
AU  - Nirattisaikul S
AU  - Tungsagunwattana S
AU  - Dissaneevate K
AU  - Sukkasem W
AU  - Toh C
AU  - Teerajaruwat S
PY  - 2026
JO  - Insights into imaging
DO  - 10.1186/s13244-026-02334-0
UR  - https://doi.org/10.1186/s13244-026-02334-0
ER  - 

APA

W, T., SR, T., T, I., S, C., P, Y., C, T., W, P., C, C., U, K., N, K., S, N., S, T., K, D., W, S., C, T., & S, T. (2026). Development of an expert-annotated chest X-ray dataset to support AI validation in tuberculosis diagnosis.. Insights into imaging. https://doi.org/10.1186/s13244-026-02334-0

Source records