A novel Ziehl–Neelsen sputum smear image database and deep learning strategy for automated detection of tuberculosis bacilli
- DOI
- 10.1016/j.compbiomed.2026.111946
- Published
- 2026-10
- Container
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2026.111946,
title = {A novel Ziehl–Neelsen sputum smear image database and deep learning strategy for automated detection of tuberculosis bacilli},
author = {Thales Francisco Mota Carvalho and Vívian Ludimila Aguiar Santos and João Victor Boechat Gomide and Lida Jouca de Assis Figueredo and Silvana Spíndola de Miranda and Ricardo de Oliveira Duarte and Frederico Gadelha Guimarães},
year = {2026},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2026.111946},
url = {https://doi.org/10.1016/j.compbiomed.2026.111946}
}RIS
TY - JOUR TI - A novel Ziehl–Neelsen sputum smear image database and deep learning strategy for automated detection of tuberculosis bacilli AU - Thales Francisco Mota Carvalho AU - Vívian Ludimila Aguiar Santos AU - João Victor Boechat Gomide AU - Lida Jouca de Assis Figueredo AU - Silvana Spíndola de Miranda AU - Ricardo de Oliveira Duarte AU - Frederico Gadelha Guimarães PY - 2026 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2026.111946 UR - https://doi.org/10.1016/j.compbiomed.2026.111946 ER -
APA
Carvalho, T. F. M., Santos, V. L. A., Gomide, J. V. B., Figueredo, L. J. D. A., Miranda, S. S. D., Duarte, R. D. O., & Guimarães, F. G. (2026). A novel Ziehl–Neelsen sputum smear image database and deep learning strategy for automated detection of tuberculosis bacilli. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2026.111946
Source records
- crossref · retrieved 2026-09-26T18:22:52.967Z