Quantifying the recovery process of skeletal muscle on hematoxylin and eosin stained images via learning from label proportion. [PDF]
Yamaoka Y +5 more
europepmc +1 more source
A fluorescence-off based approach for sensitive determination of bepotastine in pharmaceutical and biological matrices considering human safety aspects: sustainability assessment. [PDF]
Al-Farhan BS +6 more
europepmc +1 more source
Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin-Stained Tissues. [PDF]
Gu Z +15 more
europepmc +1 more source
Artificial intelligence-based virtual staining platform for identifying tumor-associated macrophages from hematoxylin and eosin-stained images. [PDF]
Aggarwal A +19 more
europepmc +1 more source
A metallophotoredox strategy for biocatalytic radical C-N<sub>3</sub> and C-SCN bond formatio. [PDF]
Rui J, Mu X, Huang X.
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TLScope: a deep learning framework for quantifying tertiary lymphoid structures from H&E images reveals prognostic heterogeneity across breast cancer subtypes. [PDF]
Wang R +11 more
europepmc +1 more source
Distinguishing of Histopathological Staging Features of H-E Stained Human cSCC by Microscopical Multispectral Imaging. [PDF]
Wu R +9 more
europepmc +1 more source
Hematoxylin and Eosin Architecture Uncovers Clinically Divergent Niches in Pancreatic Cancer. [PDF]
Guo JL +17 more
europepmc +1 more source
Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide images. [PDF]
Ounissi M +5 more
europepmc +1 more source
Deep learning-based histomorphological subtyping and risk stratification of small cell lung cancer from hematoxylin and eosin-stained whole slide images. [PDF]
Zhang Y +13 more
europepmc +1 more source

