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Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images
Research article (Australasian Physical & Engineering Sciences in Medicine, 2018) · cited 64× · AI/ML
Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images
Summary
Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images is a scholarly article[1].
Key Facts
Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images'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). Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images. Retrieved May 24, 2026, from https://4ort.xyz/entity/fully-convolutional-networks-fcns-based-segmentation-method-for-colorectal-tumors-on-t2-weighted-magnetic-resonance-imag
MLA“Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fully-convolutional-networks-fcns-based-segmentation-method-for-colorectal-tumors-on-t2-weighted-magnetic-resonance-imag.
BibTeX@misc{4ortxyz_fully-convolutional-networks-fcns-based-segmentation-method-for-colorectal-tumors-on-t2-weighted-magnetic-resonance-imag_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images}}, year = {2026}, url = {https://4ort.xyz/entity/fully-convolutional-networks-fcns-based-segmentation-method-for-colorectal-tumors-on-t2-weighted-magnetic-resonance-imag}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images — https://4ort.xyz/entity/fully-convolutional-networks-fcns-based-segmentation-method-for-colorectal-tumors-on-t2-weighted-magnetic-resonance-imag (retrieved 2026-05-24)
