Correction to: Scientific Reports https://doi.org/10.1038/s41598-022-09685-w, published online 06 April 2022
The original version of this Article contained an error in the Acknowledgments section.
“This work was jointly supported by the “GIST Research Institute (GRI) IIBR” grant funded by GIST in 202022 and the Korea Medical Device Development Fund Grant funded by the Korean government (the Ministry of Science and ICT; the Ministry of Trade, Industry and Energy; the Ministry of Health Welfare; the Ministry of Food and Drug Safety; NTIS Number: 9991006823). This work was also supported by the Technology Innovation Program (Industrial Strategic Technology Development Program-Development of Core Industrial Technology; Development of Navigation System Technologies of MicroNano Robots with Drugs for Brain Disease Therapy; the Ministry of Trade, Industry and Energy (MOTIE); NTIS Number: 20003822), South Korea.”
now reads:
“This work was jointly supported by the “GIST Research Institute (GRI) IIBR” grant funded by GIST in 2022 and the Korea Medical Device Development Fund Grant funded by the Korean government (the Ministry of Science and ICT; the Ministry of Trade, Industry and Energy; the Ministry of Health Welfare; the Ministry of Food and Drug Safety; NTIS Number: 9991006823). This work was also supported by the Technology Innovation Program (Industrial Strategic Technology Development Program-Development of Core Industrial Technology; Development of Navigation System Technologies of MicroNano Robots with Drugs for Brain Disease Therapy; the Ministry of Trade, Industry and Energy (MOTIE); NTIS Number: 20003822), South Korea.”
The original Article has been corrected.
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Ilyas, N., Ahmad, Z., Lee, B. et al. Author Correction: An effective modular approach for crowd counting in an image using convolutional neural networks. Sci Rep 12, 6818 (2022). https://doi.org/10.1038/s41598-022-11280-y
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DOI: https://doi.org/10.1038/s41598-022-11280-y
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