Ramirez-Quintana, J.A.; Salazar-Gonzalez, E.A.; Chacon-Murguia, M.I.; Arzate-Quintana, C.
Novel Extreme-Lightweight Fully Convolutional Network for Low Computational Cost in Microbiological and Cell Analysis: Detection, Quantification, and Segmentation. Big Data Cogn. Comput. 2025, 9, 36.
https://doi.org/10.3390/bdcc9020036
AMA Style
Ramirez-Quintana JA, Salazar-Gonzalez EA, Chacon-Murguia MI, Arzate-Quintana C.
Novel Extreme-Lightweight Fully Convolutional Network for Low Computational Cost in Microbiological and Cell Analysis: Detection, Quantification, and Segmentation. Big Data and Cognitive Computing. 2025; 9(2):36.
https://doi.org/10.3390/bdcc9020036
Chicago/Turabian Style
Ramirez-Quintana, Juan A., Edgar A. Salazar-Gonzalez, Mario I. Chacon-Murguia, and Carlos Arzate-Quintana.
2025. "Novel Extreme-Lightweight Fully Convolutional Network for Low Computational Cost in Microbiological and Cell Analysis: Detection, Quantification, and Segmentation" Big Data and Cognitive Computing 9, no. 2: 36.
https://doi.org/10.3390/bdcc9020036
APA Style
Ramirez-Quintana, J. A., Salazar-Gonzalez, E. A., Chacon-Murguia, M. I., & Arzate-Quintana, C.
(2025). Novel Extreme-Lightweight Fully Convolutional Network for Low Computational Cost in Microbiological and Cell Analysis: Detection, Quantification, and Segmentation. Big Data and Cognitive Computing, 9(2), 36.
https://doi.org/10.3390/bdcc9020036
