Cita APA (7a ed.)
ŞİŞİK, F., SERT, E., & Şişik, F. (2020). Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware. Medical Hypotheses, 136, -1.
Cita Chicago Style (17a ed.)
ŞİŞİK, Fatih, Eser SERT, y Fatih Şişik. "Brain Tumor Segmentation Approach Based on the Extreme Learning Machine and Significantly Fast and Robust Fuzzy C-means Clustering Algorithms Running on Raspberry Pi Hardware." Medical Hypotheses 136 (2020): -1.
Cita MLA (9a ed.)
ŞİŞİK, Fatih, et al. "Brain Tumor Segmentation Approach Based on the Extreme Learning Machine and Significantly Fast and Robust Fuzzy C-means Clustering Algorithms Running on Raspberry Pi Hardware." Medical Hypotheses, vol. 136, 2020, pp. -1.
Precaución: Estas citas no son 100% exactas.