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Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture
Research article (Neural Computing and Applications, 2024) · cited 24× · AI/ML
Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture
Summary
Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture is a scholarly article[1].
Key Facts
Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-cervical-cells-from-the-pap-smear-image-using-the-res-dcgan-data-augmentation-and-resnet50v2-with-self
MLA“Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-cervical-cells-from-the-pap-smear-image-using-the-res-dcgan-data-augmentation-and-resnet50v2-with-self.
BibTeX@misc{4ortxyz_classification-of-cervical-cells-from-the-pap-smear-image-using-the-res-dcgan-data-augmentation-and-resnet50v2-with-self_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-cervical-cells-from-the-pap-smear-image-using-the-res-dcgan-data-augmentation-and-resnet50v2-with-self}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture — https://4ort.xyz/entity/classification-of-cervical-cells-from-the-pap-smear-image-using-the-res-dcgan-data-augmentation-and-resnet50v2-with-self (retrieved 2026-05-24)
