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IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
Research article (Sensors, 2023) · cited 28× · AI/ML
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
Summary
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques is a scholarly article[1].
Key Facts
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/irv2-net-a-deep-learning-framework-for-enhanced-polyp-segmentation-performance-integrating-inceptionresnetv2-and-unet-ar
MLA“IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/irv2-net-a-deep-learning-framework-for-enhanced-polyp-segmentation-performance-integrating-inceptionresnetv2-and-unet-ar.
BibTeX@misc{4ortxyz_irv2-net-a-deep-learning-framework-for-enhanced-polyp-segmentation-performance-integrating-inceptionresnetv2-and-unet-ar_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/irv2-net-a-deep-learning-framework-for-enhanced-polyp-segmentation-performance-integrating-inceptionresnetv2-and-unet-ar}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques — https://4ort.xyz/entity/irv2-net-a-deep-learning-framework-for-enhanced-polyp-segmentation-performance-integrating-inceptionresnetv2-and-unet-ar (retrieved 2026-05-24)
