APA (7th ed.) Citation

Ahamed, M. F., Syfullah, M. K., Sarkar, O., Islam, M. T., Nahiduzzaman, M., Islam, M. R., . . . Chowdhury, M. E. H. (2023). IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Sensors (Basel, Switzerland), 23(18), 7724. https://doi.org/10.3390/s23187724

Chicago Style (17th ed.) Citation

Ahamed, Md. Faysal, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, and Muhammad E. H. Chowdhury. "IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques." Sensors (Basel, Switzerland) 23, no. 18 (2023): 7724. https://doi.org/10.3390/s23187724.

MLA (9th ed.) Citation

Ahamed, Md. Faysal, et al. "IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques." Sensors (Basel, Switzerland), vol. 23, no. 18, 2023, p. 7724, https://doi.org/10.3390/s23187724.