HAHNet: a convolutional neural network for HER2 status classification of breast cancer. [PDF]
Wang J, Zhu X, Chen K, Hao L, Liu Y.
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Quantifying the recovery process of skeletal muscle on hematoxylin and eosin stained images via learning from label proportion. [PDF]
Yamaoka Y+5 more
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Fibroblast growth factor receptor 3 gene (FGFR3) mutations in high-grade muscle-invasive urothelial bladder cancer in a Brazilian population: evaluation and prevalence. [PDF]
Monteiro CRA+3 more
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Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer. [PDF]
Hu K+5 more
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A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics. [PDF]
Weitz P+17 more
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Deep learning analysis of hematoxylin and eosin-stained benign breast biopsies to predict future invasive breast cancer. [PDF]
Saha M+7 more
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A study about the corpus luteum activity in high yielding dairy cows postpartum [PDF]
Cools, Steven
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Distinguishing of Histopathological Staging Features of H-E Stained Human cSCC by Microscopical Multispectral Imaging. [PDF]
Wu R+9 more
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HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification. [PDF]
Chen J, Wang R, Dong W, He H, Wang S.
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Blood identified and quantified in formalin fixed paraffin embedded lung sections using eosin fluorescence. [PDF]
Francis RJ+5 more
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