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Artificial intelligence assisted multi-model pathological diagnosis of breast cancer based on multispectral autofluorescence images

Abstract Virtual staining technology offers a promising solution to overcome the time-consuming and sample-consumption nature of conventional histochemical staining in breast cancer pathology. This study presents a novel framework integrating multispectral autofluorescence imaging with an optimized...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Jiahong Sun, Jianqiao Ye, Siyi Chen, Zitong Yang, Ge Xu, Yuanbo Xue, Zi Ou, Xingye Chen, Jiandong Wang
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Nature Portfolio 2026-03-01
Rangatū:npj Breast Cancer
Urunga tuihono:https://doi.org/10.1038/s41523-026-00915-2
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