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). Deep CNN based MR image denoising for tumor segmentation using watershed transform. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-cnn-based-mr-image-denoising-for-tumor-segmentation-using-watershed-transform
MLA“Deep CNN based MR image denoising for tumor segmentation using watershed transform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-cnn-based-mr-image-denoising-for-tumor-segmentation-using-watershed-transform.
BibTeX@misc{4ortxyz_deep-cnn-based-mr-image-denoising-for-tumor-segmentation-using-watershed-transform_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep CNN based MR image denoising for tumor segmentation using watershed transform}}, year = {2026}, url = {https://4ort.xyz/entity/deep-cnn-based-mr-image-denoising-for-tumor-segmentation-using-watershed-transform}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep CNN based MR image denoising for tumor segmentation using watershed transform — https://4ort.xyz/entity/deep-cnn-based-mr-image-denoising-for-tumor-segmentation-using-watershed-transform (retrieved 2026-05-24)