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). RF-ShCNN: A combination of two deep models for tumor detection in brain using MRI. Retrieved May 24, 2026, from https://4ort.xyz/entity/rf-shcnn-a-combination-of-two-deep-models-for-tumor-detection-in-brain-using-mri
MLA“RF-ShCNN: A combination of two deep models for tumor detection in brain using MRI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rf-shcnn-a-combination-of-two-deep-models-for-tumor-detection-in-brain-using-mri.
BibTeX@misc{4ortxyz_rf-shcnn-a-combination-of-two-deep-models-for-tumor-detection-in-brain-using-mri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RF-ShCNN: A combination of two deep models for tumor detection in brain using MRI}}, year = {2026}, url = {https://4ort.xyz/entity/rf-shcnn-a-combination-of-two-deep-models-for-tumor-detection-in-brain-using-mri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RF-ShCNN: A combination of two deep models for tumor detection in brain using MRI — https://4ort.xyz/entity/rf-shcnn-a-combination-of-two-deep-models-for-tumor-detection-in-brain-using-mri (retrieved 2026-05-24)
