Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture.

Gulhane M, Kumar S, Choudhary S, Rakesh N, Zhu Y, Kaur M, Tandon C, Gadekallu TR

Open source

DOI
10.1016/j.slast.2024.100159
Published
2024 Aug
Container
SLAS technology
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.slast.2024.100159,
  title = {Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture.},
  author = {Gulhane M and Kumar S and Choudhary S and Rakesh N and Zhu Y and Kaur M and Tandon C and Gadekallu TR},
  year = {2024},
  journal = {SLAS technology},
  doi = {10.1016/j.slast.2024.100159},
  url = {https://doi.org/10.1016/j.slast.2024.100159}
}

RIS

TY  - JOUR
TI  - Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture.
AU  - Gulhane M
AU  - Kumar S
AU  - Choudhary S
AU  - Rakesh N
AU  - Zhu Y
AU  - Kaur M
AU  - Tandon C
AU  - Gadekallu TR
PY  - 2024
JO  - SLAS technology
DO  - 10.1016/j.slast.2024.100159
UR  - https://doi.org/10.1016/j.slast.2024.100159
ER  - 

APA

M, G., S, K., S, C., N, R., Y, Z., M, K., C, T., & TR, G. (2024). Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture.. SLAS technology. https://doi.org/10.1016/j.slast.2024.100159

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