A hybrid approach for automatic segmentation and classification to detect tuberculosis.

Khan M, Zaman A, Khan SS, Arshad M

Open source

DOI: 10.1177/20552076241271869
Published: 2024 Jan-Dec
Container: Digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1177/20552076241271869,
  title = {A hybrid approach for automatic segmentation and classification to detect tuberculosis.},
  author = {Khan M and Zaman A and Khan SS and Arshad M},
  year = {2024},
  journal = {Digital health},
  doi = {10.1177/20552076241271869},
  url = {https://doi.org/10.1177/20552076241271869}
}

RIS

TY  - JOUR
TI  - A hybrid approach for automatic segmentation and classification to detect tuberculosis.
AU  - Khan M
AU  - Zaman A
AU  - Khan SS
AU  - Arshad M
PY  - 2024
JO  - Digital health
DO  - 10.1177/20552076241271869
UR  - https://doi.org/10.1177/20552076241271869
ER  -

APA

M, K., A, Z., SS, K., & M, A. (2024). A hybrid approach for automatic segmentation and classification to detect tuberculosis.. Digital health. https://doi.org/10.1177/20552076241271869

Source records

pubmed · retrieved 2026-09-27T13:18:04.037Z
europe-pmc · retrieved 2026-09-27T13:18:04.061Z
doaj · retrieved 2026-09-27T13:18:04.034Z