Cite Article
Cite Article
MLA
Wei, Zhenkun, et al. "Semantic-Based Optimization of Deep Learning for Efficient Real-Time Medical Image Segmentation." IJSWIS vol.20, no.1 2024: pp.1-16. http://doi.org/10.4018/IJSWIS.340938
APA
Wei, Z., Liu, J., & Yao, Y. (2024). Semantic-Based Optimization of Deep Learning for Efficient Real-Time Medical Image Segmentation. International Journal on Semantic Web and Information Systems (IJSWIS), 20 (1), 1-16. http://doi.org/10.4018/IJSWIS.340938
Chicago
Wei, Zhenkun, Jia Liu, and Yu Yao. "Semantic-Based Optimization of Deep Learning for Efficient Real-Time Medical Image Segmentation," International Journal on Semantic Web and Information Systems (IJSWIS) 20, no.1: 1-16. http://doi.org/10.4018/IJSWIS.340938
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International Journal on Semantic Web and Information Systems (IJSWIS) The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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