Home ›
Entities
› academia
› A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images
A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images
A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images
Summary
A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images is a scholarly article[1].
Key Facts
A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-deep-learning-approach-for-sickle-cell-anemia-detection-in-human-rbcs-using-an-improved-wrapper-based-feature-se
MLA“A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-deep-learning-approach-for-sickle-cell-anemia-detection-in-human-rbcs-using-an-improved-wrapper-based-feature-se.
BibTeX@misc{4ortxyz_a-novel-deep-learning-approach-for-sickle-cell-anemia-detection-in-human-rbcs-using-an-improved-wrapper-based-feature-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-deep-learning-approach-for-sickle-cell-anemia-detection-in-human-rbcs-using-an-improved-wrapper-based-feature-se}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images — https://4ort.xyz/entity/a-novel-deep-learning-approach-for-sickle-cell-anemia-detection-in-human-rbcs-using-an-improved-wrapper-based-feature-se (retrieved 2026-05-24)