ResNet-50 based Method for Cholangiocarcinoma Identification from Microscopic Hyperspectral Pathology Images
Summary
ResNet-50 based Method for Cholangiocarcinoma Identification from Microscopic Hyperspectral Pathology Images is a scholarly article[1].
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ResNet-50 based Method for Cholangiocarcinoma Identification from Microscopic Hyperspectral Pathology Images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). ResNet-50 based Method for Cholangiocarcinoma Identification from Microscopic Hyperspectral Pathology Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/resnet-50-based-method-for-cholangiocarcinoma-identification-from-microscopic-hyperspectral-pathology-images
MLA“ResNet-50 based Method for Cholangiocarcinoma Identification from Microscopic Hyperspectral Pathology Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resnet-50-based-method-for-cholangiocarcinoma-identification-from-microscopic-hyperspectral-pathology-images.
BibTeX@misc{4ortxyz_resnet-50-based-method-for-cholangiocarcinoma-identification-from-microscopic-hyperspectral-pathology-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ResNet-50 based Method for Cholangiocarcinoma Identification from Microscopic Hyperspectral Pathology Images}}, year = {2026}, url = {https://4ort.xyz/entity/resnet-50-based-method-for-cholangiocarcinoma-identification-from-microscopic-hyperspectral-pathology-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ResNet-50 based Method for Cholangiocarcinoma Identification from Microscopic Hyperspectral Pathology Images — https://4ort.xyz/entity/resnet-50-based-method-for-cholangiocarcinoma-identification-from-microscopic-hyperspectral-pathology-images (retrieved 2026-05-24)
