APA (7th ed.) Citation

Tan, Z., Madzin, H., Norafida, B., Ok Rahmat, R. W., Khalid, F., & Sulaiman, P. S. (2024). SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation. King Saud bin Abdulaziz University.

Chicago Style (17th ed.) Citation

Tan, Zhuoyi, Hizmawati Madzin, Bahari Norafida, Rahmita Wirza Ok Rahmat, Fatimah Khalid, and Puteri Suhaiza Sulaiman. SwinUNeLCsT: Global–local Spatial Representation Learning with Hybrid CNN–transformer for Efficient Tuberculosis Lung Cavity Weakly Supervised Semantic Segmentation. King Saud bin Abdulaziz University, 2024.

MLA (9th ed.) Citation

Tan, Zhuoyi, et al. SwinUNeLCsT: Global–local Spatial Representation Learning with Hybrid CNN–transformer for Efficient Tuberculosis Lung Cavity Weakly Supervised Semantic Segmentation. King Saud bin Abdulaziz University, 2024.